code: def get_dependency_tree_tokens(root_token):
      dependency_tree_tokens = list()
      token_queue = [root_token]
      while len(token_queue) > 0:
          token = token_queue[0]
          dependency_tree_tokens.append(token.text)
          token_queue = token_queue[1:]
          for child in token.children:
              token_queue.append(child)
  
      return dependency_tree_tokens
  
file_path: responsible-ai-toolbox/nlp_feature_extractors/nlp_feature_extractors/attribute_extractors.py
imports: import pkg_resources
  from negspacy.negation import Negex
  from raiutils.dataset import fetch_dataset
label_desc: Use image node_id 8 for calling a global function with example usage: get_dependency_tree_tokens(root_token) and returns: dependency_tree_tokens