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: Fitzbillies has a high price range and is located near Rainbow Vegetarian Café.
Example Output: name[Fitzbillies], priceRange[high], near[Rainbow Vegetarian Café]

Example Input: Browns Cambridge provides cheap Chinese food with an average customer rating.
Example Output: name[Browns Cambridge], food[Chinese], priceRange[cheap], customer rating[average]

Example Input: Near the Rainbow Vegetarian Café, there is a place called The Rice Boat. It is high-priced, and has a 3 out of 5 customer rating.
Example Output:
name[The Rice Boat], priceRange[high], customer rating[3 out of 5], near[Rainbow Vegetarian Café]