docstr: parse the dependency.
  
  Args:
      texts(str or list[str]): the input texts to be parse.
  
  Returns:
      results(list[dict]): a list, with elements corresponding to each of the elements in texts. The element is a dictionary of shape:
          {
              'word': list[str], the tokenized words.
              'head': list[int], the head ids.
              'deprel': list[str], the dependency relation.
              'prob': list[float], the prediction probility of the dependency relation.
              'postag': list[str], the POS tag. If the element of the texts is list, the key 'postag' will not return.
              'visual' : numpy.ndarray: the dependency visualization. Use cv2.imshow to show or cv2.imwrite to save it. If return_visual=False, it will not return.
          }
code: def parse(self, texts):
      """
      parse the dependency.
  
      Args:
          texts(str or list[str]): the input texts to be parse.
  
      Returns:
          results(list[dict]): a list, with elements corresponding to each of the elements in texts. The element is a dictionary of shape:
              {
                  'word': list[str], the tokenized words.
                  'head': list[int], the head ids.
                  'deprel': list[str], the dependency relation.
                  'prob': list[float], the prediction probility of the dependency relation.
                  'postag': list[str], the POS tag. If the element of the texts is list, the key 'postag' will not return.
                  'visual' : numpy.ndarray: the dependency visualization. Use cv2.imshow to show or cv2.imwrite to save it. If return_visual=False, it will not return.
              }
      """
      return self.ddp(texts)
  
file_path: PaddleHub/modules/text/syntactic_analysis/DDParser/module.py
imports: import os
  import argparse
  import paddlehub
  from paddlehub.module.module import serving, moduleinfo, runnable
  from paddlenlp import Taskflow
label_desc: Use image node_id 3 for calling the ddparser obj's underlying member method code with example usage: obj.parse(texts) and returns: self