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:
Le « sciemment » laissant dubitatives plusieurs personnes, c'est ainsi qu'un sénateur démocrate a demandé à ce que Karl Rove démente officiellement être celui qui a divulgué le rôle de Valerie Plame.
Postion	Tokenization
1	Le
2	«
3	sciemment
4	»
5	laissant
6	dubitatives
7	plusieurs
8	personnes
9	,
10	c'
11	est
12	ainsi
13	qu'
14	un
15	sénateur
16	démocrate
17	a
18	demandé
19	à
20	ce
21	que
22	Karl
23	Rove
24	démente
25	officiellement
26	être
27	celui
28	qui
29	a
30	divulgué
31	le
32	rôle
33	de
34	Valerie
35	Plame
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	3	det
2	«	PUNCT	3	punct
3	sciemment	NOUN	5	nsubj
4	»	PUNCT	3	punct
5	laissant	VERB	12	advcl
6	dubitatives	ADJ	5	xcomp:pred
7	plusieurs	DET	8	det
8	personnes	NOUN	5	obj
9	,	PUNCT	5	punct
10	c'	PRON	12	expl:subj
11	est	AUX	12	cop
12	ainsi	ADV	0	root
13	qu'	SCONJ	18	mark
14	un	DET	15	det
15	sénateur	NOUN	18	nsubj
16	démocrate	ADJ	15	amod
17	a	AUX	18	aux:tense
18	demandé	VERB	12	advcl:cleft
19	à	ADP	20	case
20	ce	PRON	18	obl:arg
21	que	SCONJ	24	mark
22	Karl	PROPN	24	nsubj
23	Rove	PROPN	22	flat:name
24	démente	VERB	20	acl
25	officiellement	ADV	24	advmod
26	être	AUX	27	cop
27	celui	PRON	24	xcomp:obj
28	qui	PRON	30	nsubj
29	a	AUX	30	aux:tense
30	divulgué	VERB	27	acl:relcl
31	le	DET	32	det
32	rôle	NOUN	30	obj
33	de	ADP	34	case
34	Valerie	PROPN	32	nmod
35	Plame	PROPN	34	flat:name
36	.	PUNCT	12	punct