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:
Cette année c'est le thème de la qualité de l'eau qui a été retenu, reflétant ainsi l'importance des deux thèmes, quantité et qualité, pour la gestion des ressources en eau.
Postion	Tokenization
1	Cette
2	année
3	c'
4	est
5	le
6	thème
7	de
8	la
9	qualité
10	de
11	l'
12	eau
13	qui
14	a
15	été
16	retenu
17	,
18	reflétant
19	ainsi
20	l'
21	importance
22	des
23	de
24	les
25	deux
26	thèmes
27	,
28	quantité
29	et
30	qualité
31	,
32	pour
33	la
34	gestion
35	des
36	de
37	les
38	ressources
39	en
40	eau
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	année	NOUN	6	obl:mod
3	c'	PRON	6	expl:subj
4	est	AUX	6	cop
5	le	DET	6	det
6	thème	NOUN	0	root
7	de	ADP	9	case
8	la	DET	9	det
9	qualité	NOUN	6	nmod
10	de	ADP	12	case
11	l'	DET	12	det
12	eau	NOUN	9	nmod
13	qui	PRON	16	nsubj:pass
14	a	AUX	16	aux:tense
15	été	AUX	16	aux:pass
16	retenu	VERB	6	advcl:cleft
17	,	PUNCT	18	punct
18	reflétant	VERB	6	acl
19	ainsi	ADV	18	advmod
20	l'	DET	21	det
21	importance	NOUN	18	nsubj
22	des	_	None	_
23	de	ADP	25	case
24	les	DET	25	det
25	deux	NUM	25	nummod
26	thèmes	NOUN	21	nmod
27	,	PUNCT	27	punct
28	quantité	NOUN	25	appos
29	et	CCONJ	29	cc
30	qualité	NOUN	27	conj
31	,	PUNCT	33	punct
32	pour	ADP	33	case
33	la	DET	33	det
34	gestion	NOUN	25	nmod
35	des	_	None	_
36	de	ADP	36	case
37	les	DET	36	det
38	ressources	NOUN	33	nmod
39	en	ADP	38	case
40	eau	NOUN	36	nmod
41	.	PUNCT	6	punct