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:
Los ayuntamientos de Vitoria y Pamplona, además, suscribieron sendos escritos de condena por el crimen, de los que EH se desmarcó con su abstención.
Postion	Tokenization
1	Los
2	ayuntamientos
3	de
4	Vitoria
5	y
6	Pamplona
7	,
8	además
9	,
10	suscribieron
11	sendos
12	escritos
13	de
14	condena
15	por
16	el
17	crimen
18	,
19	de
20	los
21	que
22	EH
23	se
24	desmarcó
25	con
26	su
27	abstención
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	ayuntamientos	NOUN	10	nsubj
3	de	ADP	4	case
4	Vitoria	PROPN	2	nmod
5	y	CCONJ	6	cc
6	Pamplona	PROPN	4	conj
7	,	PUNCT	8	punct
8	además	ADV	10	advmod
9	,	PUNCT	8	punct
10	suscribieron	VERB	0	root
11	sendos	DET	12	det
12	escritos	NOUN	10	obj
13	de	ADP	14	case
14	condena	NOUN	12	nmod
15	por	ADP	17	case
16	el	DET	17	det
17	crimen	NOUN	14	nmod
18	,	PUNCT	24	punct
19	de	ADP	21	case
20	los	DET	21	det
21	que	PRON	24	obj
22	EH	PROPN	24	nsubj
23	se	PRON	24	expl:pv
24	desmarcó	VERB	12	acl
25	con	ADP	27	case
26	su	DET	27	det
27	abstención	NOUN	24	obl
28	.	PUNCT	10	punct