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:
En Argentine, la Centrale des travailleurs a lancé un appel pour de meilleures conditions de travail pour les femmes, pour combattre la violence machiste, lutter contre la prostitution et légaliser l'avortement.
Postion	Tokenization
1	En
2	Argentine
3	,
4	la
5	Centrale
6	des
7	de
8	les
9	travailleurs
10	a
11	lancé
12	un
13	appel
14	pour
15	de
16	meilleures
17	conditions
18	de
19	travail
20	pour
21	les
22	femmes
23	,
24	pour
25	combattre
26	la
27	violence
28	machiste
29	,
30	lutter
31	contre
32	la
33	prostitution
34	et
35	légaliser
36	l'
37	avortement
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Argentine	PROPN	10	obl:mod
3	,	PUNCT	2	punct
4	la	DET	5	det
5	Centrale	NOUN	10	nsubj
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	travailleurs	NOUN	5	nmod
10	a	AUX	10	aux:tense
11	lancé	VERB	0	root
12	un	DET	12	det
13	appel	NOUN	10	obj
14	pour	ADP	16	case
15	de	DET	16	det
16	meilleures	ADJ	16	amod
17	conditions	NOUN	12	nmod
18	de	ADP	18	case
19	travail	NOUN	16	nmod
20	pour	ADP	21	case
21	les	DET	21	det
22	femmes	NOUN	16	nmod
23	,	PUNCT	24	punct
24	pour	ADP	24	mark
25	combattre	VERB	16	conj
26	la	DET	26	det
27	violence	NOUN	24	obj
28	machiste	ADJ	26	amod
29	,	PUNCT	29	punct
30	lutter	VERB	24	conj
31	contre	ADP	32	case
32	la	DET	32	det
33	prostitution	NOUN	29	obl:mod
34	et	CCONJ	34	cc
35	légaliser	VERB	24	conj
36	l'	DET	36	det
37	avortement	NOUN	34	obj
38	.	PUNCT	10	punct