code: def doc_not_parsed(en_tokenizer):
      text = (
          "This is a sentence. This is another sentence. And a third."
      )
      tokens = en_tokenizer(text)
      doc = Doc(tokens.vocab, words=[t.text for t in tokens])
      return doc
  
imports: import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from thinc.api import get_current_ops
  from spacy.attrs import LENGTH, ORTH
  from spacy.lang.en import English
  from spacy.tokens import Doc, Span, Token
  from spacy.util import filter_spans
  from spacy.vocab import Vocab
  from ..util import add_vecs_to_vocab
  from .test_underscore import clean_underscore
label_desc: Use image node_id 2 for calling a global function with example usage: doc_not_parsed(en_tokenizer) and returns: doc