code: def eval(self):
      """
      Return the Labeled Attachment Score (LAS) and Unlabeled Attachment Score (UAS)
  
      :return : tuple(float,float)
      """
      if len(self._parsed_sents) != len(self._gold_sents):
          raise ValueError(
              " Number of parsed sentence is different with number of gold sentence."
          )
  
      corr = 0
      corrL = 0
      total = 0
  
      for i in range(len(self._parsed_sents)):
          parsed_sent_nodes = self._parsed_sents[i].nodes
          gold_sent_nodes = self._gold_sents[i].nodes
  
          if len(parsed_sent_nodes) != len(gold_sent_nodes):
              raise ValueError("Sentences must have equal length.")
  
          for (
              parsed_node_address,
              parsed_node,
          ) in parsed_sent_nodes.items():
              gold_node = gold_sent_nodes[parsed_node_address]
  
              if parsed_node["word"] is None:
                  continue
              if parsed_node["word"] != gold_node["word"]:
                  raise ValueError("Sentence sequence is not matched.")
  
              # Ignore if word is punctuation by default
              # if (parsed_sent[j]["word"] in string.punctuation):
              if self._remove_punct(parsed_node["word"]) == "":
                  continue
  
              total += 1
              if parsed_node["head"] == gold_node["head"]:
                  corr += 1
                  if parsed_node["rel"] == gold_node["rel"]:
                      corrL += 1
  
      return corrL / total, corr / total
  
imports: import unicodedata
label_desc: Use image node_id 3 for calling the DependencyEvaluator obj's underlying member method code with example usage: obj.eval() and returns: unknown,  unknown