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 Input:
An Indian coffee shop is called Cocum, with a moderate price range but has low ratings from it's customers.

Ex Output:
name[Cocum], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no]


Ex Input:
Wildwood is a restaurant providing take-away deliveries in the low price range. It is located in the city centre.

Ex Output:
name[Wildwood], eatType[pub], food[English], priceRange[more than £30], customer rating[high]


Ex Input:
Fitzbillies is an upscale, riverside, coffee shop which has highly rated food without a child-friendly environment.  Prices are above average for fast food.

Ex Output:

name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[no]