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:
Au Ier siècle av. J.-C., il réside dans l'actuel département du Morbihan et a donné son nom à la ville de Vannes (Gwened en breton).
Postion	Tokenization
1	Au
2	à
3	le
4	Ier
5	siècle
6	av.
7	J.-C.
8	,
9	il
10	réside
11	dans
12	l'
13	actuel
14	département
15	du
16	de
17	le
18	Morbihan
19	et
20	a
21	donné
22	son
23	nom
24	à
25	la
26	ville
27	de
28	Vannes
29	(
30	Gwened
31	en
32	breton
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	4	case
3	le	DET	4	det
4	Ier	ADJ	4	amod
5	siècle	NOUN	9	obl:mod
6	av.	ADP	6	case
7	J.-C.	PROPN	4	nmod
8	,	PUNCT	4	punct
9	il	PRON	9	nsubj
10	réside	VERB	0	root
11	dans	ADP	13	case
12	l'	DET	13	det
13	actuel	ADJ	13	amod
14	département	NOUN	9	obl:arg
15	du	_	None	_
16	de	ADP	16	case
17	le	DET	16	det
18	Morbihan	PROPN	13	nmod
19	et	CCONJ	19	cc
20	a	AUX	19	aux:tense
21	donné	VERB	9	conj
22	son	DET	21	det
23	nom	NOUN	19	obj
24	à	ADP	24	case
25	la	DET	24	det
26	ville	NOUN	19	obl:arg
27	de	ADP	26	case
28	Vannes	PROPN	24	nmod
29	(	PUNCT	28	punct
30	Gwened	PROPN	26	appos
31	en	ADP	30	case
32	breton	NOUN	28	nmod
33	)	PUNCT	28	punct
34	.	PUNCT	9	punct