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:
L'image de Michel Polnareff devient subliminale puisque dans ses clips et sur les pochettes, on ne verra que sa silhouette ou ses lunettes.
Postion	Tokenization
1	L'
2	image
3	de
4	Michel
5	Polnareff
6	devient
7	subliminale
8	puisque
9	dans
10	ses
11	clips
12	et
13	sur
14	les
15	pochettes
16	,
17	on
18	ne
19	verra
20	que
21	sa
22	silhouette
23	ou
24	ses
25	lunettes
26	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	image	NOUN	6	nsubj
3	de	ADP	4	case
4	Michel	PROPN	2	nmod
5	Polnareff	PROPN	4	flat:name
6	devient	VERB	0	root
7	subliminale	ADJ	6	xcomp:pred
8	puisque	SCONJ	19	mark
9	dans	ADP	11	case
10	ses	DET	11	det
11	clips	NOUN	19	obl:mod
12	et	CCONJ	15	cc
13	sur	ADP	15	case
14	les	DET	15	det
15	pochettes	NOUN	11	conj
16	,	PUNCT	11	punct
17	on	PRON	19	nsubj
18	ne	ADV	19	advmod
19	verra	VERB	6	advcl
20	que	ADV	22	advmod
21	sa	DET	22	det
22	silhouette	NOUN	19	obj
23	ou	CCONJ	25	cc
24	ses	DET	25	det
25	lunettes	NOUN	22	conj
26	.	PUNCT	6	punct