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:
Les revenus générés par le film, lors de sa sortie ou de ses ressorties, n'ont jamais été aussi importants que ceux des autres productions du studio.
Postion	Tokenization
1	Les
2	revenus
3	générés
4	par
5	le
6	film
7	,
8	lors
9	de
10	sa
11	sortie
12	ou
13	de
14	ses
15	ressorties
16	,
17	n'
18	ont
19	jamais
20	été
21	aussi
22	importants
23	que
24	ceux
25	des
26	de
27	les
28	autres
29	productions
30	du
31	de
32	le
33	studio
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	revenus	NOUN	22	nsubj
3	générés	VERB	2	acl
4	par	ADP	6	case
5	le	DET	6	det
6	film	NOUN	3	obl:agent
7	,	PUNCT	8	punct
8	lors	ADV	3	advmod
9	de	ADP	11	case
10	sa	DET	11	det
11	sortie	NOUN	8	obl:arg
12	ou	CCONJ	15	cc
13	de	ADP	15	case
14	ses	DET	15	det
15	ressorties	NOUN	11	conj
16	,	PUNCT	2	punct
17	n'	ADV	22	advmod
18	ont	AUX	22	aux:tense
19	jamais	ADV	22	advmod
20	été	AUX	22	cop
21	aussi	ADV	22	advmod
22	importants	ADJ	0	root
23	que	SCONJ	24	case
24	ceux	PRON	21	obj
25	des	_	None	_
26	de	ADP	28	case
27	les	DET	28	det
28	autres	ADJ	28	amod
29	productions	NOUN	24	nmod
30	du	_	None	_
31	de	ADP	31	case
32	le	DET	31	det
33	studio	NOUN	28	nmod
34	.	PUNCT	22	punct