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:
En la sección retrospectiva, José María Nunes, miembro de la Escuela de Barcelona y director de Noches de vino tinto, y Mireia Ros, directora de La Monyos, presentaron ayer las películas que hoy se exhibirán en el cine del Poble Espanyol de Montjuïc.
Postion	Tokenization
1	En
2	la
3	sección
4	retrospectiva
5	,
6	José
7	María
8	Nunes
9	,
10	miembro
11	de
12	la
13	Escuela
14	de
15	Barcelona
16	y
17	director
18	de
19	Noches
20	de
21	vino
22	tinto
23	,
24	y
25	Mireia
26	Ros
27	,
28	directora
29	de
30	La
31	Monyos
32	,
33	presentaron
34	ayer
35	las
36	películas
37	que
38	hoy
39	se
40	exhibirán
41	en
42	el
43	cine
44	del
45	Poble
46	Espanyol
47	de
48	Montjuïc
49	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	sección	NOUN	33	obl
4	retrospectiva	ADJ	3	amod
5	,	PUNCT	3	punct
6	José	PROPN	33	nsubj
7	María	PROPN	6	flat
8	Nunes	PROPN	6	flat
9	,	PUNCT	10	punct
10	miembro	NOUN	6	appos
11	de	ADP	13	case
12	la	DET	13	det
13	Escuela	PROPN	10	nmod
14	de	ADP	15	case
15	Barcelona	PROPN	13	flat
16	y	CCONJ	17	cc
17	director	NOUN	10	conj
18	de	ADP	19	case
19	Noches	PROPN	17	nmod
20	de	ADP	21	case
21	vino	PROPN	19	flat
22	tinto	PROPN	21	flat
23	,	PUNCT	10	punct
24	y	CCONJ	25	cc
25	Mireia	PROPN	6	conj
26	Ros	PROPN	25	flat
27	,	PUNCT	28	punct
28	directora	NOUN	25	appos
29	de	ADP	31	case
30	La	DET	31	det
31	Monyos	PROPN	28	nmod
32	,	PUNCT	28	punct
33	presentaron	VERB	0	root
34	ayer	ADV	33	advmod
35	las	DET	36	det
36	películas	NOUN	33	obj
37	que	PRON	40	nsubj
38	hoy	ADV	40	advmod
39	se	PRON	40	expl:pass
40	exhibirán	VERB	36	acl
41	en	ADP	43	case
42	el	DET	43	det
43	cine	NOUN	40	obl
44	del	ADP	45	case
45	Poble	PROPN	43	nmod
46	Espanyol	PROPN	45	flat
47	de	ADP	48	case
48	Montjuïc	PROPN	45	nmod
49	.	PUNCT	33	punct