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 director teatral clausuró ayer el taller El actor como creador en la Universidad Internacional Menéndez Pelayo de Santander con una tertulia sobre el montaje de la obra.
Postion	Tokenization
1	El
2	director
3	teatral
4	clausuró
5	ayer
6	el
7	taller
8	El
9	actor
10	como
11	creador
12	en
13	la
14	Universidad
15	Internacional
16	Menéndez
17	Pelayo
18	de
19	Santander
20	con
21	una
22	tertulia
23	sobre
24	el
25	montaje
26	de
27	la
28	obra
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	director	NOUN	4	nsubj
3	teatral	ADJ	2	amod
4	clausuró	VERB	0	root
5	ayer	ADV	4	advmod
6	el	DET	7	det
7	taller	NOUN	4	obj
8	El	DET	9	det
9	actor	PROPN	7	appos
10	como	SCONJ	11	case
11	creador	PROPN	8	flat
12	en	ADP	14	case
13	la	DET	14	det
14	Universidad	PROPN	4	obl
15	Internacional	PROPN	14	flat
16	Menéndez	PROPN	14	flat
17	Pelayo	PROPN	14	flat
18	de	ADP	19	case
19	Santander	PROPN	14	flat
20	con	ADP	22	case
21	una	DET	22	det
22	tertulia	NOUN	4	obl
23	sobre	ADP	25	case
24	el	DET	25	det
25	montaje	NOUN	22	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	obra	NOUN	25	nmod
29	.	PUNCT	4	punct