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: Near The Bakers is The Golden Curry, a family friendly restaurant.
Example Output: name[The Golden Curry], food[Japanese], priceRange[more than £30], familyFriendly[yes], near[The Bakers]

Example Input: For Italian food in the riverside area, try the Aromi coffee shop, but keep in mind that it is not family-friendly and has a low customer rating.
Example Output: name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no]

Example Input: Cocum is a kids friendly pub with a moderate price range. Customer rating is 3 out of 5.
Example Output:
name[Cocum], eatType[pub], priceRange[moderate], customer rating[3 out of 5], familyFriendly[yes]