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:
Elle a passé un an dans un centre d'entraînement de tennis après son baccalauréat avant d'intégrer une filière STAPS à l'université, avec pour projet de devenir journaliste sportive.
Postion	Tokenization
1	Elle
2	a
3	passé
4	un
5	an
6	dans
7	un
8	centre
9	d'
10	entraînement
11	de
12	tennis
13	après
14	son
15	baccalauréat
16	avant
17	d'
18	intégrer
19	une
20	filière
21	STAPS
22	à
23	l'
24	université
25	,
26	avec
27	pour
28	projet
29	de
30	devenir
31	journaliste
32	sportive
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	passé	VERB	0	root
4	un	DET	5	det
5	an	NOUN	3	obj
6	dans	ADP	8	case
7	un	DET	8	det
8	centre	NOUN	3	obl:mod
9	d'	ADP	10	case
10	entraînement	NOUN	8	nmod
11	de	ADP	12	case
12	tennis	NOUN	8	nmod
13	après	ADP	15	case
14	son	DET	15	det
15	baccalauréat	NOUN	3	obl:mod
16	avant	ADV	3	advmod
17	d'	ADP	18	mark
18	intégrer	VERB	16	ccomp:obj
19	une	DET	20	det
20	filière	NOUN	18	obj
21	STAPS	NOUN	20	appos
22	à	ADP	24	case
23	l'	DET	24	det
24	université	NOUN	18	obl:arg
25	,	PUNCT	30	punct
26	avec	ADP	30	mark
27	pour	ADP	28	case
28	projet	NOUN	30	obl:mod
29	de	ADP	30	mark
30	devenir	VERB	18	advcl
31	journaliste	NOUN	30	xcomp:pred
32	sportive	ADJ	31	amod
33	.	PUNCT	3	punct