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:
Mais les « jaunes et noirs » ont entre temps perdu la plupart de leurs joueurs clés (notamment Tomáš Rosický et David Odonkor) pour s'en sortir, et procédé à de nombreuses réductions de salaire.
Postion	Tokenization
1	Mais
2	les
3	«
4	jaunes
5	et
6	noirs
7	»
8	ont
9	entre
10	temps
11	perdu
12	la
13	plupart
14	de
15	leurs
16	joueurs
17	clés
18	(
19	notamment
20	Tomáš
21	Rosický
22	et
23	David
24	Odonkor
25	)
26	pour
27	s'
28	en
29	sortir
30	,
31	et
32	procédé
33	à
34	de
35	nombreuses
36	réductions
37	de
38	salaire
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	11	cc
2	les	DET	4	det
3	«	PUNCT	4	punct
4	jaunes	NOUN	11	nsubj
5	et	CCONJ	6	cc
6	noirs	NOUN	4	conj
7	»	PUNCT	4	punct
8	ont	AUX	11	aux:tense
9	entre	ADP	10	case
10	temps	NOUN	11	obl:mod
11	perdu	VERB	0	root
12	la	DET	13	det
13	plupart	NOUN	11	obj
14	de	ADP	16	case
15	leurs	DET	16	det
16	joueurs	NOUN	13	nmod
17	clés	NOUN	16	nmod
18	(	PUNCT	20	punct
19	notamment	ADV	20	advmod
20	Tomáš	PROPN	16	appos
21	Rosický	PROPN	20	flat:name
22	et	CCONJ	23	cc
23	David	PROPN	20	conj
24	Odonkor	PROPN	23	flat:name
25	)	PUNCT	20	punct
26	pour	ADP	29	mark
27	s'	PRON	29	dep:comp
28	en	PRON	29	dep:comp
29	sortir	VERB	16	acl
30	,	PUNCT	32	punct
31	et	CCONJ	32	cc
32	procédé	VERB	11	conj
33	à	ADP	36	case
34	de	DET	36	det
35	nombreuses	ADJ	36	amod
36	réductions	NOUN	32	obl:arg
37	de	ADP	38	case
38	salaire	NOUN	36	nmod
39	.	PUNCT	11	punct