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 actor y director de teatro Josep Maria Flotats participa (11.05) en el espacio de entrevistas de 'Els matins amb Josep Cuní', de Ona Catalana, para hablar de las últimas representaciones de 'Arte' en Barcelona.
Postion	Tokenization
1	El
2	actor
3	y
4	director
5	de
6	teatro
7	Josep
8	Maria
9	Flotats
10	participa
11	(
12	11.05
13	)
14	en
15	el
16	espacio
17	de
18	entrevistas
19	de
20	'
21	Els
22	matins
23	amb
24	Josep
25	Cuní
26	'
27	,
28	de
29	Ona
30	Catalana
31	,
32	para
33	hablar
34	de
35	las
36	últimas
37	representaciones
38	de
39	'
40	Arte
41	'
42	en
43	Barcelona
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	actor	NOUN	10	nsubj
3	y	CCONJ	4	cc
4	director	NOUN	2	conj
5	de	ADP	6	case
6	teatro	NOUN	4	nmod
7	Josep	PROPN	2	appos
8	Maria	PROPN	7	flat
9	Flotats	PROPN	7	flat
10	participa	VERB	0	root
11	(	PUNCT	12	punct
12	11.05	NOUN	10	obl
13	)	PUNCT	12	punct
14	en	ADP	16	case
15	el	DET	16	det
16	espacio	NOUN	10	obj
17	de	ADP	18	case
18	entrevistas	NOUN	16	nmod
19	de	ADP	22	case
20	'	SYM	21	nmod
21	Els	DET	22	det
22	matins	PROPN	16	nmod
23	amb	ADP	24	case
24	Josep	PROPN	21	flat
25	Cuní	PROPN	24	flat
26	'	SYM	21	nmod
27	,	PUNCT	29	punct
28	de	ADP	29	case
29	Ona	PROPN	16	nmod
30	Catalana	PROPN	29	flat
31	,	PUNCT	29	punct
32	para	ADP	33	mark
33	hablar	VERB	10	advcl
34	de	ADP	37	case
35	las	DET	37	det
36	últimas	ADJ	37	amod
37	representaciones	NOUN	33	obj
38	de	ADP	40	case
39	'	SYM	40	nmod
40	Arte	PROPN	37	nmod
41	'	SYM	40	nmod
42	en	ADP	43	case
43	Barcelona	PROPN	37	nmod
44	.	PUNCT	10	punct