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: The Waterman, a family friendly place that serves English food, is by the Crowne Plaza Hotel.
Example Output: name[The Waterman], food[English], familyFriendly[yes], near[Crowne Plaza Hotel]

Example Input: Expect to pay more than £30 at The Vaults, an expensive but kid friendly Chinese restaurant.
Example Output: name[The Vaults], food[Chinese], priceRange[more than £30], familyFriendly[yes]

Example Input: In the riverside area, Fitzbillies is a high-priced Indian coffee shop.
Example Output:
name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[no]