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:
El filme del cineasta francés Bruno Dumont, que obtuvo el Gran Premio del Jurado en el último festival de Cannes, será retirada hoy de las salas a petición de su realizador y de su distribuidora italiana.
Postion	Tokenization
1	El
2	filme
3	del
4	cineasta
5	francés
6	Bruno
7	Dumont
8	,
9	que
10	obtuvo
11	el
12	Gran
13	Premio
14	del
15	Jurado
16	en
17	el
18	último
19	festival
20	de
21	Cannes
22	,
23	será
24	retirada
25	hoy
26	de
27	las
28	salas
29	a
30	petición
31	de
32	su
33	realizador
34	y
35	de
36	su
37	distribuidora
38	italiana
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	filme	NOUN	24	nsubj
3	del	ADP	4	case
4	cineasta	NOUN	2	nmod
5	francés	ADJ	4	amod
6	Bruno	PROPN	4	appos
7	Dumont	PROPN	6	flat
8	,	PUNCT	10	punct
9	que	PRON	10	nsubj
10	obtuvo	VERB	2	acl
11	el	DET	12	det
12	Gran	ADJ	10	obj
13	Premio	PROPN	12	flat
14	del	ADP	15	case
15	Jurado	PROPN	12	flat
16	en	ADP	19	case
17	el	DET	19	det
18	último	ADJ	19	amod
19	festival	NOUN	10	obl
20	de	ADP	21	case
21	Cannes	PROPN	19	nmod
22	,	PUNCT	10	punct
23	será	AUX	24	aux
24	retirada	VERB	0	root
25	hoy	ADV	24	advmod
26	de	ADP	28	case
27	las	DET	28	det
28	salas	NOUN	24	obl
29	a	ADP	33	case
30	petición	NOUN	29	fixed
31	de	ADP	29	fixed
32	su	DET	33	det
33	realizador	NOUN	24	obl
34	y	CCONJ	37	cc
35	de	ADP	37	case
36	su	DET	37	det
37	distribuidora	NOUN	33	conj
38	italiana	ADJ	37	amod
39	.	PUNCT	24	punct