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 eurodiputado de EA Gorka Knörr consideró "lamentable" el ataque y pidió a EH que se desmarque de la violencia, aunque lo haga sin "condenas rimbombantes".
Postion	Tokenization
1	El
2	eurodiputado
3	de
4	EA
5	Gorka
6	Knörr
7	consideró
8	"
9	lamentable
10	"
11	el
12	ataque
13	y
14	pidió
15	a
16	EH
17	que
18	se
19	desmarque
20	de
21	la
22	violencia
23	,
24	aunque
25	lo
26	haga
27	sin
28	"
29	condenas
30	rimbombantes
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	eurodiputado	NOUN	7	nsubj
3	de	ADP	4	case
4	EA	PROPN	2	nmod
5	Gorka	PROPN	2	appos
6	Knörr	PROPN	5	flat
7	consideró	VERB	0	root
8	"	PUNCT	9	punct
9	lamentable	ADJ	7	obj
10	"	PUNCT	9	punct
11	el	DET	12	det
12	ataque	NOUN	7	obj
13	y	CCONJ	14	cc
14	pidió	VERB	7	conj
15	a	ADP	16	case
16	EH	PROPN	14	iobj
17	que	SCONJ	19	mark
18	se	PRON	19	expl:pv
19	desmarque	VERB	14	ccomp
20	de	ADP	22	case
21	la	DET	22	det
22	violencia	NOUN	19	obj
23	,	PUNCT	26	punct
24	aunque	SCONJ	26	mark
25	lo	PRON	26	obj
26	haga	VERB	19	advcl
27	sin	ADP	29	case
28	"	PUNCT	29	punct
29	condenas	NOUN	26	obl
30	rimbombantes	ADJ	29	amod
31	"	PUNCT	29	punct
32	.	PUNCT	7	punct