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 peut par exemple menacer un groupe bancaire de lui retirer sa licence s'il refuse d'échanger des données à sa demande, explique l'économiste Gabriel Zucman.
Postion	Tokenization
1	Elle
2	peut
3	par
4	exemple
5	menacer
6	un
7	groupe
8	bancaire
9	de
10	lui
11	retirer
12	sa
13	licence
14	s'
15	il
16	refuse
17	d'
18	échanger
19	des
20	données
21	à
22	sa
23	demande
24	,
25	explique
26	l'
27	économiste
28	Gabriel
29	Zucman
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	peut	VERB	0	root
3	par	ADP	5	advmod
4	exemple	NOUN	3	fixed
5	menacer	VERB	2	xcomp:obj
6	un	DET	7	det
7	groupe	NOUN	5	obj
8	bancaire	ADJ	7	amod
9	de	ADP	11	mark
10	lui	PRON	11	obl:arg
11	retirer	VERB	5	xcomp:obl
12	sa	DET	13	det
13	licence	NOUN	11	obj
14	s'	SCONJ	16	mark
15	il	PRON	16	nsubj
16	refuse	VERB	5	advcl
17	d'	ADP	18	mark
18	échanger	VERB	16	xcomp:obj
19	des	DET	20	det
20	données	NOUN	18	obj
21	à	ADP	23	case
22	sa	DET	23	det
23	demande	NOUN	16	obl:mod
24	,	PUNCT	2	punct
25	explique	VERB	2	parataxis
26	l'	DET	27	det
27	économiste	NOUN	25	nsubj
28	Gabriel	PROPN	27	appos
29	Zucman	PROPN	28	flat:name
30	.	PUNCT	2	punct