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:
A coffee shop that has a rating of 1 out of 5 is called The Golden Palace. They have French food for moderate prices. They recently moved to city centre.

Ex Output:
name[The Golden Palace], eatType[coffee shop], food[French], priceRange[moderate], customer rating[1 out of 5], area[city centre]


Ex Input:
The Punter is a child friendly coffee shop located near Café Sicilia. It has a high customer rating, and serves English food costing over 30 euro.

Ex Output:
name[The Punter], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes], near[Café Sicilia]


Ex Input:
Welcome to The Waterman, located by the riverside. We serve English food and our price range is cheap. We are not family-friendly and our customer rating is average.

Ex Output:

name[The Waterman], food[English], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no]