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:
Stephen Brun, né 4 juillet 1980 à Caen, est un joueur français de basket-ball de 2,02 mètres qui évolue au poste d'ailier fort.
Postion	Tokenization
1	Stephen
2	Brun
3	,
4	né
5	4
6	juillet
7	1980
8	à
9	Caen
10	,
11	est
12	un
13	joueur
14	français
15	de
16	basket-ball
17	de
18	2,02
19	mètres
20	qui
21	évolue
22	au
23	à
24	le
25	poste
26	d'
27	ailier
28	fort
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Stephen	PROPN	13	nsubj
2	Brun	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	né	VERB	1	acl
5	4	NUM	4	obl:arg
6	juillet	NOUN	5	nmod
7	1980	NUM	6	nmod
8	à	ADP	9	case
9	Caen	PROPN	4	obl:arg
10	,	PUNCT	4	punct
11	est	AUX	13	cop
12	un	DET	13	det
13	joueur	NOUN	0	root
14	français	ADJ	13	amod
15	de	ADP	16	case
16	basket-ball	NOUN	13	nmod
17	de	ADP	19	case
18	2,02	NUM	19	nummod
19	mètres	NOUN	13	nmod
20	qui	PRON	21	nsubj
21	évolue	VERB	13	acl:relcl
22	au	_	None	_
23	à	ADP	24	case
24	le	DET	24	det
25	poste	NOUN	21	obl:arg
26	d'	ADP	26	case
27	ailier	NOUN	24	nmod
28	fort	ADJ	26	amod
29	.	PUNCT	13	punct