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:
Aseguró que tiene el máximo interés en que eso sea así y dijo que por ello trabaja y facilita que el PSOE conozca con todo detalle cuál es la actitud del Ejecutivo en la lucha contra ETA.
Postion	Tokenization
1	Aseguró
2	que
3	tiene
4	el
5	máximo
6	interés
7	en
8	que
9	eso
10	sea
11	así
12	y
13	dijo
14	que
15	por
16	ello
17	trabaja
18	y
19	facilita
20	que
21	el
22	PSOE
23	conozca
24	con
25	todo
26	detalle
27	cuál
28	es
29	la
30	actitud
31	del
32	Ejecutivo
33	en
34	la
35	lucha
36	contra
37	ETA
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Aseguró	VERB	0	root
2	que	SCONJ	3	mark
3	tiene	VERB	1	ccomp
4	el	DET	6	det
5	máximo	ADJ	6	amod
6	interés	NOUN	3	obj
7	en	ADP	11	mark
8	que	SCONJ	11	mark
9	eso	PRON	11	nsubj
10	sea	AUX	11	cop
11	así	ADV	3	advcl
12	y	CCONJ	13	cc
13	dijo	VERB	1	conj
14	que	SCONJ	17	mark
15	por	ADP	16	case
16	ello	PRON	17	obl
17	trabaja	VERB	13	ccomp
18	y	CCONJ	19	cc
19	facilita	VERB	17	conj
20	que	SCONJ	23	mark
21	el	DET	22	det
22	PSOE	PROPN	23	nsubj
23	conozca	VERB	19	ccomp
24	con	ADP	26	case
25	todo	DET	26	det
26	detalle	NOUN	23	obl
27	cuál	PRON	30	nsubj
28	es	AUX	30	cop
29	la	DET	30	det
30	actitud	NOUN	23	ccomp
31	del	ADP	32	case
32	Ejecutivo	PROPN	30	nmod
33	en	ADP	35	case
34	la	DET	35	det
35	lucha	NOUN	30	obl
36	contra	ADP	37	case
37	ETA	PROPN	35	nmod
38	.	PUNCT	1	punct