In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: There is an Indian food restaurant called The Cambridge Blue. Although, they do have a low customer rating.
Example Output: name[The Cambridge Blue], eatType[restaurant], food[Indian], customer rating[low]

Example Input: At Riverside,The Eagle is rated 5 out of 5 and is cheap
Example Output: name[The Eagle], priceRange[cheap], customer rating[5 out of 5], area[riverside]

Example Input: Close to Café Brazil, The Cambridge Blue pub serves delicious Tuscan Beef for the cheap price of £10.50. Delicious Pub food.
Example Output:
name[The Cambridge Blue], eatType[pub], food[English], priceRange[cheap], near[Café Brazil]