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:
La tribu ligure présente sur le rocher au Ve siècle av. J.-C., aurait pu être à l'origine du nom de la ville.
Postion	Tokenization
1	La
2	tribu
3	ligure
4	présente
5	sur
6	le
7	rocher
8	au
9	à
10	le
11	Ve
12	siècle
13	av.
14	J.-C.
15	,
16	aurait
17	pu
18	être
19	à
20	l'
21	origine
22	du
23	de
24	le
25	nom
26	de
27	la
28	ville
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	tribu	NOUN	16	nsubj
3	ligure	ADJ	2	amod
4	présente	ADJ	2	amod
5	sur	ADP	7	case
6	le	DET	7	det
7	rocher	NOUN	4	obl:mod
8	au	_	None	_
9	à	ADP	11	case
10	le	DET	11	det
11	Ve	ADJ	11	amod
12	siècle	NOUN	4	obl:mod
13	av.	ADP	13	case
14	J.-C.	PROPN	11	nmod
15	,	PUNCT	2	punct
16	aurait	AUX	16	aux:tense
17	pu	VERB	0	root
18	être	VERB	16	xcomp:obj
19	à	ADP	20	case
20	l'	DET	20	det
21	origine	NOUN	17	obl:arg
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	nom	NOUN	20	nmod
26	de	ADP	26	case
27	la	DET	26	det
28	ville	NOUN	23	nmod
29	.	PUNCT	16	punct