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 ministro del Interior, Jaime Mayor Oreja, lo reconoció sin ambages el pasado julio, en una comparecencia parlamentaria: "Neutralizar la ofensiva soberanista del nacionalismo vasco es una política de Estado".
Postion	Tokenization
1	El
2	ministro
3	del
4	Interior
5	,
6	Jaime
7	Mayor
8	Oreja
9	,
10	lo
11	reconoció
12	sin
13	ambages
14	el
15	pasado
16	julio
17	,
18	en
19	una
20	comparecencia
21	parlamentaria
22	:
23	"
24	Neutralizar
25	la
26	ofensiva
27	soberanista
28	del
29	nacionalismo
30	vasco
31	es
32	una
33	política
34	de
35	Estado
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	11	nsubj
3	del	ADP	4	case
4	Interior	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Jaime	PROPN	2	appos
7	Mayor	PROPN	6	flat
8	Oreja	PROPN	6	flat
9	,	PUNCT	6	punct
10	lo	PRON	11	obj
11	reconoció	VERB	0	root
12	sin	ADP	11	advmod
13	ambages	NOUN	12	fixed
14	el	DET	16	det
15	pasado	ADJ	16	amod
16	julio	NOUN	11	obl
17	,	PUNCT	20	punct
18	en	ADP	20	case
19	una	DET	20	det
20	comparecencia	NOUN	11	obl
21	parlamentaria	ADJ	20	amod
22	:	PUNCT	31	punct
23	"	PUNCT	31	punct
24	Neutralizar	VERB	31	csubj
25	la	DET	26	det
26	ofensiva	NOUN	24	obj
27	soberanista	ADJ	26	amod
28	del	ADP	29	case
29	nacionalismo	NOUN	26	nmod
30	vasco	ADJ	29	amod
31	es	AUX	11	advcl
32	una	DET	33	det
33	política	NOUN	31	nsubj
34	de	ADP	35	case
35	Estado	PROPN	33	nmod
36	"	PUNCT	31	punct
37	.	PUNCT	11	punct