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 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]: For a cheap restaurant with a customer rating of 5 out of 5, try Taste of Cambridge.
[EX A]: name[Taste of Cambridge], eatType[restaurant], priceRange[cheap], customer rating[5 out of 5]

[EX Q]: The Cambridge Blue is a Chinese food Pub for less than  £20 near Café Brazil
[EX A]:
name[The Cambridge Blue], eatType[pub], food[Chinese], priceRange[less than £20], near[Café Brazil]