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:
Cette disparité d'intérêt est évidente dans la traduction de centaines de travaux tibétains dans des langues étrangères, alors que seuls la Bible et un nombre limité d'autres livres ont été traduits en tibétain.
Postion	Tokenization
1	Cette
2	disparité
3	d'
4	intérêt
5	est
6	évidente
7	dans
8	la
9	traduction
10	de
11	centaines
12	de
13	travaux
14	tibétains
15	dans
16	des
17	langues
18	étrangères
19	,
20	alors
21	que
22	seuls
23	la
24	Bible
25	et
26	un
27	nombre
28	limité
29	d'
30	autres
31	livres
32	ont
33	été
34	traduits
35	en
36	tibétain
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	disparité	NOUN	6	nsubj
3	d'	ADP	4	case
4	intérêt	NOUN	2	nmod
5	est	AUX	6	cop
6	évidente	ADJ	0	root
7	dans	ADP	9	case
8	la	DET	9	det
9	traduction	NOUN	6	obl:mod
10	de	ADP	11	case
11	centaines	NOUN	9	nmod
12	de	ADP	13	case
13	travaux	NOUN	11	nmod
14	tibétains	ADJ	13	amod
15	dans	ADP	17	case
16	des	DET	17	det
17	langues	NOUN	9	nmod
18	étrangères	ADJ	17	amod
19	,	PUNCT	34	punct
20	alors	ADV	34	mark
21	que	SCONJ	20	fixed
22	seuls	ADJ	24	amod
23	la	DET	24	det
24	Bible	PROPN	34	nsubj:pass
25	et	CCONJ	27	cc
26	un	DET	27	det
27	nombre	NOUN	24	conj
28	limité	ADJ	27	amod
29	d'	ADP	31	case
30	autres	ADJ	31	amod
31	livres	NOUN	27	nmod
32	ont	AUX	34	aux:tense
33	été	AUX	34	aux:pass
34	traduits	VERB	6	advcl
35	en	ADP	36	case
36	tibétain	NOUN	34	obl:mod
37	.	PUNCT	6	punct