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:
Presentado por Hermann Bonnin, presidente de la Associació Professional d'Actors i Directors de Catalunya, el acto se abrirá con un brindis por Teixidor en el que participarán todos los protagonistas de la velada.
Postion	Tokenization
1	Presentado
2	por
3	Hermann
4	Bonnin
5	,
6	presidente
7	de
8	la
9	Associació
10	Professional
11	d'Actors
12	i
13	Directors
14	de
15	Catalunya
16	,
17	el
18	acto
19	se
20	abrirá
21	con
22	un
23	brindis
24	por
25	Teixidor
26	en
27	el
28	que
29	participarán
30	todos
31	los
32	protagonistas
33	de
34	la
35	velada
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Presentado	ADJ	18	amod
2	por	ADP	3	case
3	Hermann	PROPN	1	obj
4	Bonnin	PROPN	3	flat
5	,	PUNCT	6	punct
6	presidente	NOUN	3	appos
7	de	ADP	9	case
8	la	DET	9	det
9	Associació	PROPN	6	nmod
10	Professional	PROPN	9	flat
11	d'Actors	PROPN	9	flat
12	i	CCONJ	13	cc
13	Directors	PROPN	9	conj
14	de	ADP	15	case
15	Catalunya	PROPN	9	flat
16	,	PUNCT	6	punct
17	el	DET	18	det
18	acto	NOUN	20	nsubj
19	se	PRON	20	expl:pass
20	abrirá	VERB	0	root
21	con	ADP	23	case
22	un	DET	23	det
23	brindis	NOUN	20	obl
24	por	ADP	25	case
25	Teixidor	PROPN	23	nmod
26	en	ADP	28	case
27	el	DET	28	det
28	que	PRON	29	obj
29	participarán	VERB	23	acl
30	todos	DET	31	det
31	los	DET	32	det
32	protagonistas	NOUN	29	nsubj
33	de	ADP	35	case
34	la	DET	35	det
35	velada	NOUN	32	nmod
36	.	PUNCT	20	punct