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:
La conclusion de l'étude montre que la récupération de l'aquifère se fait à long terme et qu'elle entraîne des impacts économiques importants.
Postion	Tokenization
1	La
2	conclusion
3	de
4	l'
5	étude
6	montre
7	que
8	la
9	récupération
10	de
11	l'
12	aquifère
13	se
14	fait
15	à
16	long
17	terme
18	et
19	qu'
20	elle
21	entraîne
22	des
23	impacts
24	économiques
25	importants
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	conclusion	NOUN	6	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	étude	NOUN	2	nmod
6	montre	VERB	0	root
7	que	SCONJ	14	mark
8	la	DET	9	det
9	récupération	NOUN	14	nsubj:pass
10	de	ADP	12	case
11	l'	DET	12	det
12	aquifère	NOUN	9	nmod
13	se	PRON	14	expl:pass
14	fait	VERB	6	ccomp:obj
15	à	ADP	17	case
16	long	ADJ	17	amod
17	terme	NOUN	14	obl:mod
18	et	CCONJ	21	cc
19	qu'	SCONJ	21	mark
20	elle	PRON	21	nsubj
21	entraîne	VERB	14	conj
22	des	DET	23	det
23	impacts	NOUN	21	obj
24	économiques	ADJ	23	amod
25	importants	ADJ	23	amod
26	.	PUNCT	6	punct