code: def test_dependency():
      raw_data = "James went to the corner-shop. He want to buy some (eggs), <milk> and bread for breakfast."
  
      nlp_parser = StanfordCoreNLP(
          "http://localhost", port=9000, timeout=300000
      )
  
      processor_args = {
          "annotators": "ssplit,tokenize,depparse",
          "tokenize.options": "splitHyphenated=false,normalizeParentheses=false,normalizeOtherBrackets=false",  # noqa
          "tokenize.whitespace": True,
          "ssplit.isOneSentence": True,
          "outputFormat": "json",
      }
  
      DependencyBasedGraphConstruction.topology(
          raw_data,
          nlp_parser,
          processor_args=processor_args,
          merge_strategy="tailhead",
          edge_strategy="heterogeneous",
          verbose=1,
      )
      pass
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_dependency() without return types