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 Punter sells French food. its price range is less than £20.
[EX A]: name[The Punter], food[French], priceRange[less than £20]

[EX Q]: Loch Fyne is riverside serving average Japanese food. It is near The Rice Boat.
[EX A]: name[Loch Fyne], food[Japanese], customer rating[average], area[riverside], near[The Rice Boat]

[EX Q]: A cheap family friendly coffee shop The Punter is near Café Sicilia and provides take out.
[EX A]:
name[The Punter], eatType[coffee shop], food[Italian], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Café Sicilia]