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]: Zizzi is a coffee Shop have 3 out of 5 costumer rating, and £20-26 price range. It is located in city center.
[EX A]: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[no]

[EX Q]: The Eagle is a family-friendly coffee shop with French cuisine. Prices are less than £20. Customers give it an average rating. It is located in the city centre near a Burger King.
[EX A]: name[The Eagle], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], area[city centre], familyFriendly[yes], near[Burger King]

[EX Q]: A fast food pub near The Portland Arms would be the kids friendly place called The Dumpling Tree
[EX A]:
name[The Dumpling Tree], eatType[pub], food[Fast food], familyFriendly[yes], near[The Portland Arms]