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.

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


[Q]: Located in the city centre, The Waterman is a child friendly French restaurant with a price range of more than 30.
[A]: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[yes]


[Q]: The Punter is a coffee shop offering high-priced Fast food near Café Sicilia. It's child friendly and has an average customer rating.
[A]:
name[The Punter], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], familyFriendly[yes], near[Café Sicilia]