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:
Italian family friendly near Café Sicilia is The Punter which is a cheap coffee shop with average rating.

Ex Output:
name[The Punter], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Café Sicilia]


Ex Input:
Café Rouge is a restaurant providing Italian food. It is located in Cotto.

Ex Output:
name[Cotto], food[Italian], near[Café Rouge]


Ex Input:
The Golden Curry is a family friendly Chinese place with a low customer rating in the city centre near Café Rouge.

Ex Output:

name[The Golden Curry], food[Chinese], customer rating[low], area[city centre], familyFriendly[yes], near[Café Rouge]