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:
Nunes, director experimental, que acaba de salir de un parón profesional de 16 años, ha terminado recientemente el rodaje en vídeo del largometraje Amigogima y espera encontrar distribución para su película, que tendrá una versión en 35 mm, a partir del próximo mes de septiembre.
Postion	Tokenization
1	Nunes
2	,
3	director
4	experimental
5	,
6	que
7	acaba
8	de
9	salir
10	de
11	un
12	parón
13	profesional
14	de
15	16
16	años
17	,
18	ha
19	terminado
20	recientemente
21	el
22	rodaje
23	en
24	vídeo
25	del
26	largometraje
27	Amigogima
28	y
29	espera
30	encontrar
31	distribución
32	para
33	su
34	película
35	,
36	que
37	tendrá
38	una
39	versión
40	en
41	35
42	mm
43	,
44	a
45	partir
46	del
47	próximo
48	mes
49	de
50	septiembre
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Nunes	PROPN	19	nsubj
2	,	PUNCT	3	punct
3	director	NOUN	1	appos
4	experimental	ADJ	3	amod
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	acaba	VERB	1	acl
8	de	ADP	9	mark
9	salir	VERB	7	xcomp
10	de	ADP	12	case
11	un	DET	12	det
12	parón	NOUN	7	obl
13	profesional	ADJ	12	amod
14	de	ADP	16	case
15	16	NUM	16	nummod
16	años	NOUN	12	nmod
17	,	PUNCT	7	punct
18	ha	AUX	19	aux
19	terminado	VERB	0	root
20	recientemente	ADV	19	advmod
21	el	DET	22	det
22	rodaje	NOUN	19	obj
23	en	ADP	24	case
24	vídeo	NOUN	22	nmod
25	del	ADP	26	case
26	largometraje	NOUN	22	nmod
27	Amigogima	PROPN	26	appos
28	y	CCONJ	29	cc
29	espera	VERB	19	conj
30	encontrar	VERB	29	xcomp
31	distribución	NOUN	30	obj
32	para	ADP	34	case
33	su	DET	34	det
34	película	NOUN	30	obl
35	,	PUNCT	37	punct
36	que	PRON	37	nsubj
37	tendrá	VERB	34	acl
38	una	DET	39	det
39	versión	NOUN	37	obj
40	en	ADP	41	case
41	35	NUM	37	obl
42	mm	NUM	41	compound
43	,	PUNCT	48	punct
44	a	ADP	48	case
45	partir	NOUN	44	fixed
46	del	ADP	44	fixed
47	próximo	ADJ	48	amod
48	mes	NOUN	37	obl
49	de	ADP	50	case
50	septiembre	NOUN	48	compound
51	.	PUNCT	19	punct