-----sentence: <He was diagnosed with kidney failure in the United States.>-----
first three tokens:
He
    children=[]
    context_similarity=-1
    cui=-1
    cui_=-<N>-
    definition_=-<N>-
    dep=430
    dep_=nsubjpass
    detected_name_=-<N>-
    ent=0
    ent_=-<N>-
    ent_iob=0
    ent_iob_=O
    i=0
    i_sent=0
    idx=0
    is_concept=False
    is_contraction=False
    is_ent=False
    is_pronoun=True
    is_punctuation=False
    is_space=False
    is_stop=True
    is_superlative=False
    is_wh=False
    lemma_=he
    lexspan=(0, 2)
    norm=He
    norm_len=2
    pos_=PRON
    pref_name_=-<N>-
    sent_i=0
    shape=12204527652707022206
    shape_=Xx
    sub_names=[]
    tag=13656873538139661788
    tag_=PRP
    tui_descs_=
    tuis=frozenset()
    tuis_=
was
    children=[]
    context_similarity=-1
    cui=-1
    cui_=-<N>-
    definition_=-<N>-
    dep=406
    dep_=auxpass
    detected_name_=-<N>-
    ent=0
    ent_=-<N>-
    ent_iob=0
    ent_iob_=O
    i=1
    i_sent=1
    idx=3
    is_concept=False
    is_contraction=False
    is_ent=False
    is_pronoun=False
    is_punctuation=False
    is_space=False
    is_stop=True
    is_superlative=False
    is_wh=False
    lemma_=be
    lexspan=(3, 6)
    norm=was
    norm_len=3
    pos_=AUX
    pref_name_=-<N>-
    sent_i=0
    shape=4088098365541558500
    shape_=xxx
    sub_names=[]
    tag=17109001835818727656
    tag_=VBD
    tui_descs_=
    tuis=frozenset()
    tuis_=
diagnosed
    children=[0, 1, 3, 10]
    context_similarity=-1
    cui=-1
    cui_=-<N>-
    definition_=-<N>-
    dep=8206900633647566924
    dep_=ROOT
    detected_name_=-<N>-
    ent=0
    ent_=-<N>-
    ent_iob=0
    ent_iob_=O
    i=2
    i_sent=2
    idx=7
    is_concept=False
    is_contraction=False
    is_ent=False
    is_pronoun=False
    is_punctuation=False
    is_space=False
    is_stop=False
    is_superlative=False
    is_wh=False
    lemma_=diagnose
    lexspan=(7, 16)
    norm=diagnosed
    norm_len=9
    pos_=VERB
    pref_name_=-<N>-
    sent_i=0
    shape=13110060611322374290
    shape_=xxxx
    sub_names=[]
    tag=3822385049556375858
    tag_=VBN
    tui_descs_=
    tuis=frozenset()
    tuis_=
-----named entities:-----
<kidney failure>: cui=C0035078
<kidney>: cui=C0035078
<the United States>: cui=-<N>-
-----features as a Pandas data frame-----
    idx   i       norm  is_concept      cui_      pref_name_   ent_
0     0   0         He       False     -<N>-           -<N>-  -<N>-
1     3   1        was       False     -<N>-           -<N>-  -<N>-
2     7   2  diagnosed       False     -<N>-           -<N>-  -<N>-
3    17   3       with       False     -<N>-           -<N>-  -<N>-
4    22   4     kidney        True  C0035078  Kidney Failure  ORGAN
5    29   5    failure        True  C0035078  Kidney Failure  -<N>-
6    37   6         in       False     -<N>-           -<N>-  -<N>-
7    40   7        the       False     -<N>-           -<N>-    GPE
8    44   8     United       False     -<N>-           -<N>-    GPE
9    51   9     States       False     -<N>-           -<N>-    GPE
10   57  10          .       False     -<N>-           -<N>-  -<N>-