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]: In the city centre near Café Rouge you will find a low rated French restaurant named The Golden Curry. It is not family-friendly.
[EX A]: name[The Golden Curry], food[French], customer rating[low], area[city centre], familyFriendly[no], near[Café Rouge]

[EX Q]: Cocum is a pub which is kid friendly, has a high customer rating and is in the £20-25 price range.
[EX A]: name[Cocum], eatType[pub], priceRange[£20-25], customer rating[high], familyFriendly[yes]

[EX Q]: The Waterman restaurant is not kid friendly, has a customer rating of 1 out of 5 and a moderate price range.  Serves Chinese food in the riverside area.
[EX A]:
name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]