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:
Al acabar la entrevista, el anciano político rechazó la oferta de la emisora y se negó a utilizar un coche para salir directamente desde el aparcamiento subterráneo.
Postion	Tokenization
1	Al
2	acabar
3	la
4	entrevista
5	,
6	el
7	anciano
8	político
9	rechazó
10	la
11	oferta
12	de
13	la
14	emisora
15	y
16	se
17	negó
18	a
19	utilizar
20	un
21	coche
22	para
23	salir
24	directamente
25	desde
26	el
27	aparcamiento
28	subterráneo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	acabar	VERB	9	advcl
3	la	DET	4	det
4	entrevista	NOUN	2	obj
5	,	PUNCT	2	punct
6	el	DET	8	det
7	anciano	ADJ	8	amod
8	político	NOUN	9	nsubj
9	rechazó	VERB	0	root
10	la	DET	11	det
11	oferta	NOUN	9	obj
12	de	ADP	14	case
13	la	DET	14	det
14	emisora	NOUN	11	nmod
15	y	CCONJ	17	cc
16	se	PRON	17	expl:pv
17	negó	VERB	9	conj
18	a	ADP	19	mark
19	utilizar	VERB	17	xcomp
20	un	DET	21	det
21	coche	NOUN	19	obj
22	para	ADP	23	mark
23	salir	VERB	19	advcl
24	directamente	ADV	23	advmod
25	desde	ADP	27	case
26	el	DET	27	det
27	aparcamiento	NOUN	23	obl
28	subterráneo	ADJ	27	amod
29	.	PUNCT	9	punct