code: def parse(self):
          
  
          if self.type == TOKEN_TYPE[0][1]:
              try:
                  return Item(
                      item_id=self._link(None, None)[1],
                      links=self._link(None, None)[0],
                      assets=self._asset(None),
                      properties=self._properties(None)[0],
                      geometry=self._properties(None)[2]
                  )
              except ValidationError as e:
                  raise
          elif self.type == TOKEN_TYPE[1][1]:
              try:
                  # parallelize item computation
                  items = [self._features_iterator(
                      feature['id'],
                      self._link(feature, data.ASSET_TYPE_IMAGE_COLL)[0],
                      self._asset(
                          feature['properties']['system:index']
                      ),
                      self._properties(feature)[0],
                      self._properties(feature)[2]
                  ) for feature in self._get_full_info()['features']]
                  res_list = dask.compute(items)[0]
  
                  return Collection(
                      collection_id=self._get_info()['id'],
                      features=res_list
                  )
              except ValidationError as e:
                  raise
          else:
              raise TypeError("Unrecognized Stac type found.")
docs: Parse an asset from Earth Engine to STAC item
  
          Raises:
              ValueError -- If asset is not of type Image or ImageCollection
  
          Returns:
              Item -- STAC feature of the Google Earth Engine Asset
              Collection -- STAC collection of the Google Earth Engine Asset