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: If you want Japanese food, The Cambridge Blue  is fair but has a low customer rating.
Example Output: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[low]

Example Input: The Cambridge Blue is a restaurant that provides Chinese food Its customer rating is high.
Example Output: name[The Cambridge Blue], eatType[restaurant], food[Chinese], customer rating[high]

Example Input: The Eagle is a low priced, average consumer rated, family-friendly coffee shop, that serves Italian food.   It is located near Burger King in the city centre.
Example Output:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes], near[Burger King]