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]: 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]

[EX Q]: An Indian coffee shop is called Cocum, with a moderate price range but has low ratings from it's customers.
[EX A]: name[Cocum], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no]

[EX Q]: The Golden Palace is a coffee shop located by the riverside. Its moderately priced Indian food has a customer rating of 1 out of 5.
[EX A]:
name[The Golden Palace], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[1 out of 5], area[riverside]