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: Browns Cambridge is a five star. English restaurant.
Example Output: name[Browns Cambridge], food[English], priceRange[more than £30], customer rating[high]

Example Input: The Cricketers is a children friendly coffee shop which serves Italian food, and has a high customer rating, located near The Portland Arms.
Example Output: name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[high], familyFriendly[yes], near[The Portland Arms]

Example Input: Fitzbillies is a moderate priced coffee shop that sells Italian food. It is located in the city centre, is not kid friendly, and has 3 out of 5 rating.
Example Output:
name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[city centre], familyFriendly[no]