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:
Après avoir un temps travaillé dans la musique pour le cinéma et la télévision, il entre en 1994 comme compositeur de musiques de jeu vidéo chez Sega Europe.
Postion	Tokenization
1	Après
2	avoir
3	un
4	temps
5	travaillé
6	dans
7	la
8	musique
9	pour
10	le
11	cinéma
12	et
13	la
14	télévision
15	,
16	il
17	entre
18	en
19	1994
20	comme
21	compositeur
22	de
23	musiques
24	de
25	jeu
26	vidéo
27	chez
28	Sega
29	Europe
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	5	mark
2	avoir	VERB	5	advcl
3	un	DET	4	det
4	temps	NOUN	5	obl:mod
5	travaillé	VERB	17	advcl
6	dans	ADP	8	case
7	la	DET	8	det
8	musique	NOUN	5	obl:arg
9	pour	ADP	11	case
10	le	DET	11	det
11	cinéma	NOUN	5	obl:mod
12	et	CCONJ	14	cc
13	la	DET	14	det
14	télévision	NOUN	11	conj
15	,	PUNCT	5	punct
16	il	PRON	17	nsubj
17	entre	VERB	0	root
18	en	ADP	19	case
19	1994	NUM	17	obl:mod
20	comme	ADP	21	case
21	compositeur	NOUN	17	obl:mod
22	de	ADP	23	case
23	musiques	NOUN	21	nmod
24	de	ADP	25	case
25	jeu	NOUN	23	nmod
26	vidéo	ADJ	25	amod
27	chez	ADP	28	case
28	Sega	PROPN	17	obl:mod
29	Europe	PROPN	28	flat:name
30	.	PUNCT	17	punct