code: def __init__(self, rows, headers=None):
      self.rows = rows
      self.key_orders = [
          "doc_url",
          "date",
          "sent_id",
          "type",
          "authors",
          "text",
      ]
      self.headers = headers
  
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 1 to create a new UDSentence object  with example: obj = UDSentence(rows, headers)