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 baisse du taux de chômage n'est donc pas une bonne nouvelle : elle traduit plus des sorties du marché du travail qu'une reprise des embauches », analyse Thomas Julien, économiste chez Natixis.
Postion	Tokenization
1	«
2	La
3	baisse
4	du
5	de
6	le
7	taux
8	de
9	chômage
10	n'
11	est
12	donc
13	pas
14	une
15	bonne
16	nouvelle
17	:
18	elle
19	traduit
20	plus
21	des
22	sorties
23	du
24	de
25	le
26	marché
27	du
28	de
29	le
30	travail
31	qu'
32	une
33	reprise
34	des
35	de
36	les
37	embauches
38	»
39	,
40	analyse
41	Thomas
42	Julien
43	,
44	économiste
45	chez
46	Natixis
47	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	15	punct
2	La	DET	3	det
3	baisse	NOUN	15	nsubj
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	taux	NOUN	3	nmod
8	de	ADP	8	case
9	chômage	NOUN	6	nmod
10	n'	ADV	15	advmod
11	est	AUX	15	cop
12	donc	ADV	15	advmod
13	pas	ADV	15	advmod
14	une	DET	15	det
15	bonne	ADJ	15	amod
16	nouvelle	NOUN	0	root
17	:	PUNCT	18	punct
18	elle	PRON	18	nsubj
19	traduit	VERB	15	parataxis
20	plus	ADV	21	advmod
21	des	DET	21	det
22	sorties	NOUN	18	obj
23	du	_	None	_
24	de	ADP	24	case
25	le	DET	24	det
26	marché	NOUN	21	nmod
27	du	_	None	_
28	de	ADP	27	case
29	le	DET	27	det
30	travail	NOUN	24	nmod
31	qu'	SCONJ	30	case
32	une	DET	30	det
33	reprise	NOUN	19	obj
34	des	_	None	_
35	de	ADP	33	case
36	les	DET	33	det
37	embauches	NOUN	30	nmod
38	»	PUNCT	15	punct
39	,	PUNCT	15	punct
40	analyse	VERB	15	parataxis
41	Thomas	PROPN	36	nsubj
42	Julien	PROPN	37	flat:name
43	,	PUNCT	40	punct
44	économiste	NOUN	37	appos
45	chez	ADP	42	case
46	Natixis	PROPN	40	nmod
47	.	PUNCT	15	punct