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:
Además, Garaikoetxea no ha aclarado si se presentará o no a la reelección como presidente del partido que él mismo formó en 1986 tras escindirse del PNV.
Postion	Tokenization
1	Además
2	,
3	Garaikoetxea
4	no
5	ha
6	aclarado
7	si
8	se
9	presentará
10	o
11	no
12	a
13	la
14	reelección
15	como
16	presidente
17	del
18	partido
19	que
20	él
21	mismo
22	formó
23	en
24	1986
25	tras
26	escindirse
27	escindir
28	se
29	del
30	PNV
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	6	advmod
2	,	PUNCT	1	punct
3	Garaikoetxea	PROPN	6	nsubj
4	no	ADV	6	advmod
5	ha	AUX	6	aux
6	aclarado	VERB	0	root
7	si	SCONJ	9	mark
8	se	PRON	9	obj
9	presentará	VERB	6	ccomp
10	o	CCONJ	11	cc
11	no	ADV	9	dep
12	a	ADP	14	case
13	la	DET	14	det
14	reelección	NOUN	9	obl
15	como	SCONJ	16	mark
16	presidente	NOUN	14	nmod
17	del	ADP	18	case
18	partido	NOUN	16	nmod
19	que	PRON	22	obj
20	él	PRON	22	nsubj
21	mismo	ADJ	20	amod
22	formó	VERB	18	acl
23	en	ADP	24	case
24	1986	NOUN	22	obl
25	tras	ADP	26	mark
26	escindirse	_	None	_
27	escindir	VERB	22	advcl
28	se	PRON	26	expl:pv
29	del	ADP	29	case
30	PNV	PROPN	26	obj
31	.	PUNCT	6	punct