code: def test_tr_noun_chunks_conj_noun_head_verb(tr_tokenizer):
      text = "Simge babasını görmüyormuş, annesini değil"
      heads = [2, 2, 2, 4, 2, 4]
      deps = ["nsubj", "obj", "ROOT", "punct", "conj", "aux"]
      pos = ["PROPN", "NOUN", "VERB", "PUNCT", "NOUN", "AUX"]
      tokens = tr_tokenizer(text)
      doc = Doc(
          tokens.vocab,
          words=[t.text for t in tokens],
          pos=pos,
          heads=heads,
          deps=deps,
      )
      chunks = list(doc.noun_chunks)
      assert len(chunks) == 3
      assert chunks[0].text_with_ws == "annesini "
      assert chunks[1].text_with_ws == "babasını "
      assert chunks[2].text_with_ws == "Simge "
  
imports: from spacy.tokens import Doc
label_desc: Use image node_id 33 for calling a global function with example usage: test_tr_noun_chunks_conj_noun_head_verb(tr_tokenizer) without return types