code: def dependency_parse(text):
      sentence = word_tokenize(text)
      parser = init_parser()
      dataset = parser.predict([sentence])
      results = dataset.sentences[0].values
      results = list(zip(results[1], results[6], results[7]))
      return results
  
imports: from underthesea import word_tokenize
  from underthesea.models.dependency_parser import DependencyParser
label_desc: Use image node_id 2 for calling a global function with example usage: dependency_parse(text) and returns: results