code: def merge_sentence(self, s1, dataset):
      sent_id = s1.headers["sent_id"]
      target_sentence = dataset.get_by_sent_id(sent_id)
      if target_sentence is None:
          return s1
      if target_sentence.headers["type"] == "silver":
          return target_sentence
      return s1
  
imports: from os.path import dirname, join, exists
  from torch.utils.data import Dataset
  from underthesea import pos_tag
  from underthesea import dependency_parse
  from underthesea.utils.col_analyzer import UDAnalyzer
label_desc: Use image node_id 8 for calling the UDDataset obj's underlying member method code with example usage: obj.merge_sentence(s1, dataset) and returns: s1, s1, target_sentence