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:
François Fillon s'est dit "convaincu" jeudi de la capacité du gouvernement "à faire reculer le chômage" cette année, après avoir qualifié de "mauvais" les chiffres pour décembre 2010, mois qui a connu une nouvelle hausse du nombre de demandeurs d'emploi.
Postion	Tokenization
1	François
2	Fillon
3	s'
4	est
5	dit
6	"
7	convaincu
8	"
9	jeudi
10	de
11	la
12	capacité
13	du
14	de
15	le
16	gouvernement
17	"
18	à
19	faire
20	reculer
21	le
22	chômage
23	"
24	cette
25	année
26	,
27	après
28	avoir
29	qualifié
30	de
31	"
32	mauvais
33	"
34	les
35	chiffres
36	pour
37	décembre
38	2010
39	,
40	mois
41	qui
42	a
43	connu
44	une
45	nouvelle
46	hausse
47	du
48	de
49	le
50	nombre
51	de
52	demandeurs
53	d'
54	emploi
55	.
Position	Tokenization	UPOS	Head	Deprel
1	François	PROPN	5	nsubj
2	Fillon	PROPN	1	flat:name
3	s'	PRON	5	obj
4	est	AUX	5	aux:tense
5	dit	VERB	0	root
6	"	PUNCT	7	punct
7	convaincu	ADJ	5	xcomp:pred
8	"	PUNCT	7	punct
9	jeudi	NOUN	7	obl:mod
10	de	ADP	12	case
11	la	DET	12	det
12	capacité	NOUN	7	obl:arg
13	du	_	None	_
14	de	ADP	15	case
15	le	DET	15	det
16	gouvernement	NOUN	12	nmod
17	"	PUNCT	19	punct
18	à	ADP	19	mark
19	faire	AUX	19	aux:caus
20	reculer	VERB	12	acl
21	le	DET	21	det
22	chômage	NOUN	19	obj:agent
23	"	PUNCT	19	punct
24	cette	DET	24	det
25	année	NOUN	19	obl:mod
26	,	PUNCT	28	punct
27	après	ADP	28	mark
28	avoir	AUX	28	aux:tense
29	qualifié	VERB	5	advcl
30	de	ADP	31	case
31	"	PUNCT	31	punct
32	mauvais	ADJ	28	xcomp:pred
33	"	PUNCT	31	punct
34	les	DET	34	det
35	chiffres	NOUN	28	obj
36	pour	ADP	36	case
37	décembre	NOUN	34	nmod
38	2010	NUM	36	nmod
39	,	PUNCT	39	punct
40	mois	NOUN	36	appos
41	qui	PRON	42	nsubj
42	a	AUX	42	aux:tense
43	connu	VERB	39	acl:relcl
44	une	DET	45	det
45	nouvelle	ADJ	45	amod
46	hausse	NOUN	42	obj
47	du	_	None	_
48	de	ADP	48	case
49	le	DET	48	det
50	nombre	NOUN	45	nmod
51	de	ADP	50	case
52	demandeurs	NOUN	48	nmod
53	d'	ADP	52	case
54	emploi	NOUN	50	nmod
55	.	PUNCT	5	punct