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:
Céleste est une chanson réponse humoristique et provocatrice à Ségolène Royal qui avait dit lors d'un de ces discours pendant la campagne présidentielle de 2007 « Doc Gynéco ce n'est pas André Malraux », en réaction au soutien politique de ce dernier pour son rival lors de cette campagne, Nicolas Sarkozy.
Postion	Tokenization
1	Céleste
2	est
3	une
4	chanson
5	réponse
6	humoristique
7	et
8	provocatrice
9	à
10	Ségolène
11	Royal
12	qui
13	avait
14	dit
15	lors
16	d'
17	un
18	de
19	ces
20	discours
21	pendant
22	la
23	campagne
24	présidentielle
25	de
26	2007
27	«
28	Doc
29	Gynéco
30	ce
31	n'
32	est
33	pas
34	André
35	Malraux
36	»
37	,
38	en
39	réaction
40	au
41	à
42	le
43	soutien
44	politique
45	de
46	ce
47	dernier
48	pour
49	son
50	rival
51	lors
52	de
53	cette
54	campagne
55	,
56	Nicolas
57	Sarkozy
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Céleste	PROPN	4	nsubj
2	est	AUX	4	cop
3	une	DET	4	det
4	chanson	NOUN	0	root
5	réponse	NOUN	4	appos
6	humoristique	ADJ	5	amod
7	et	CCONJ	8	cc
8	provocatrice	ADJ	6	conj
9	à	ADP	10	case
10	Ségolène	PROPN	5	nmod
11	Royal	PROPN	10	flat:name
12	qui	PRON	14	nsubj
13	avait	AUX	14	aux:tense
14	dit	VERB	10	acl:relcl
15	lors	ADV	14	advmod
16	d'	ADP	17	case
17	un	PRON	15	obl:arg
18	de	ADP	20	case
19	ces	DET	20	det
20	discours	NOUN	17	nmod
21	pendant	ADP	23	case
22	la	DET	23	det
23	campagne	NOUN	14	obl:mod
24	présidentielle	ADJ	23	amod
25	de	ADP	26	case
26	2007	NUM	23	nmod
27	«	PUNCT	34	punct
28	Doc	PROPN	34	dislocated
29	Gynéco	PROPN	28	flat:name
30	ce	PRON	34	nsubj
31	n'	ADV	34	advmod
32	est	AUX	34	cop
33	pas	ADV	34	advmod
34	André	PROPN	14	parataxis
35	Malraux	PROPN	34	flat:name
36	»	PUNCT	34	punct
37	,	PUNCT	34	punct
38	en	ADP	39	case
39	réaction	NOUN	14	obl:mod
40	au	_	None	_
41	à	ADP	42	case
42	le	DET	42	det
43	soutien	NOUN	39	nmod
44	politique	ADJ	42	amod
45	de	ADP	46	case
46	ce	DET	46	det
47	dernier	ADJ	42	nmod
48	pour	ADP	49	case
49	son	DET	49	det
50	rival	NOUN	42	nmod
51	lors	ADV	49	advmod
52	de	ADP	53	case
53	cette	DET	53	det
54	campagne	NOUN	50	obl:arg
55	,	PUNCT	55	punct
56	Nicolas	PROPN	49	appos
57	Sarkozy	PROPN	55	flat:name
58	.	PUNCT	4	punct