As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
A chaque fois j'y ai pris beaucoup de plaisir : dans l'assiette tout d'abord, mais également service très agréable et une vue sur le golf qui vous fait oublier le stress quotidien.
Postion	Tokenization
1	A
2	chaque
3	fois
4	j'
5	y
6	ai
7	pris
8	beaucoup
9	de
10	plaisir
11	:
12	dans
13	l'
14	assiette
15	tout
16	d'
17	abord
18	,
19	mais
20	également
21	service
22	très
23	agréable
24	et
25	une
26	vue
27	sur
28	le
29	golf
30	qui
31	vous
32	fait
33	oublier
34	le
35	stress
36	quotidien
37	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	chaque	DET	3	det
3	fois	NOUN	7	obl:mod
4	j'	PRON	7	nsubj
5	y	PRON	7	obl:arg
6	ai	AUX	7	aux:tense
7	pris	VERB	0	root
8	beaucoup	ADV	7	obj
9	de	ADP	10	case
10	plaisir	NOUN	8	dep:comp
11	:	PUNCT	14	punct
12	dans	ADP	14	case
13	l'	DET	14	det
14	assiette	NOUN	7	obl:mod
15	tout	ADV	16	advmod
16	d'	ADP	14	advmod
17	abord	NOUN	16	fixed
18	,	PUNCT	21	punct
19	mais	CCONJ	21	cc
20	également	ADV	21	advmod
21	service	NOUN	14	conj
22	très	ADV	23	advmod
23	agréable	ADJ	21	amod
24	et	CCONJ	26	cc
25	une	DET	26	det
26	vue	NOUN	14	conj
27	sur	ADP	29	case
28	le	DET	29	det
29	golf	NOUN	26	nmod
30	qui	PRON	33	nsubj:caus
31	vous	PRON	33	iobj:agent
32	fait	AUX	33	aux:caus
33	oublier	VERB	29	acl:relcl
34	le	DET	35	det
35	stress	NOUN	33	obj
36	quotidien	ADJ	35	amod
37	.	PUNCT	7	punct