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]: Cocum is a coffee shop serving high quality Italian food that is low priced and family friendly.
[EX A]: name[Cocum], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes]

[EX Q]: Wildwood is a high price, 5 star coffee shop located next to Ranch.
[EX A]: name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], near[Ranch]

[EX Q]: The Punter is a family restaurant with low prices and delicious sushi, located near the Café Sicilia
[EX A]:
name[The Punter], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]