code: def generate_indices(self):
      self.sent_id_sent_index_map = dict(
          [
              [s.headers["sent_id"], key]
              for key, s in enumerate(self.sentences)
          ]
      )
  
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 2 for calling the UDDataset obj's underlying member method code with example usage: obj.generate_indices() without return types