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:
Avec cette étude, le canton de Berne veut évaluer les conséquences sur sa minorité francophone de la création d'une entité formée du Jura et du Jura bernois.
Postion	Tokenization
1	Avec
2	cette
3	étude
4	,
5	le
6	canton
7	de
8	Berne
9	veut
10	évaluer
11	les
12	conséquences
13	sur
14	sa
15	minorité
16	francophone
17	de
18	la
19	création
20	d'
21	une
22	entité
23	formée
24	du
25	de
26	le
27	Jura
28	et
29	du
30	de
31	le
32	Jura
33	bernois
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Avec	ADP	3	case
2	cette	DET	3	det
3	étude	NOUN	9	obl:mod
4	,	PUNCT	3	punct
5	le	DET	6	det
6	canton	NOUN	9	nsubj
7	de	ADP	8	case
8	Berne	PROPN	6	nmod
9	veut	VERB	0	root
10	évaluer	VERB	9	xcomp:obj
11	les	DET	12	det
12	conséquences	NOUN	10	obj
13	sur	ADP	15	case
14	sa	DET	15	det
15	minorité	NOUN	12	nmod
16	francophone	ADJ	15	amod
17	de	ADP	19	case
18	la	DET	19	det
19	création	NOUN	12	nmod
20	d'	ADP	22	case
21	une	DET	22	det
22	entité	NOUN	19	nmod
23	formée	VERB	22	acl
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	Jura	PROPN	23	obl:agent
28	et	CCONJ	30	cc
29	du	_	None	_
30	de	ADP	30	case
31	le	DET	30	det
32	Jura	PROPN	26	conj
33	bernois	ADJ	30	amod
34	.	PUNCT	9	punct