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.

[EX Q]: Serving Japanese food is Cocum coffee shop. Though with a low customer rating, Cocum is family friendly and the price range is under £20.
[EX A]: name[Cocum], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes]

[EX Q]: The Golden Curry offers English food at a high price. It is near The Bakers. It should be noted that it is not kids friendly.
[EX A]: name[The Golden Curry], food[English], priceRange[high], familyFriendly[no], near[The Bakers]

[EX Q]: The Waterman is a cheap Indian food restaurant near the city centre. It has an average customer rating and is not family friendly.
[EX A]:
name[The Waterman], food[Indian], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[no]

