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:
Francisco Alvarez, ex jefe superior de policía de Bilbao y del mando único de la lucha antiterrorista, declaró ayer que, pese a sus cargos, no dispuso de ninguna información sobre el caso Lasa y Zabala.
Postion	Tokenization
1	Francisco
2	Alvarez
3	,
4	ex
5	jefe
6	superior
7	de
8	policía
9	de
10	Bilbao
11	y
12	del
13	mando
14	único
15	de
16	la
17	lucha
18	antiterrorista
19	,
20	declaró
21	ayer
22	que
23	,
24	pese
25	a
26	sus
27	cargos
28	,
29	no
30	dispuso
31	de
32	ninguna
33	información
34	sobre
35	el
36	caso
37	Lasa
38	y
39	Zabala
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Francisco	PROPN	20	nsubj
2	Alvarez	PROPN	1	flat
3	,	PUNCT	5	punct
4	ex	ADJ	5	amod
5	jefe	NOUN	1	appos
6	superior	ADJ	5	amod
7	de	ADP	8	case
8	policía	NOUN	5	nmod
9	de	ADP	10	case
10	Bilbao	PROPN	8	nmod
11	y	CCONJ	13	cc
12	del	ADP	13	case
13	mando	NOUN	8	conj
14	único	ADJ	13	amod
15	de	ADP	17	case
16	la	DET	17	det
17	lucha	NOUN	13	nmod
18	antiterrorista	ADJ	17	amod
19	,	PUNCT	5	punct
20	declaró	VERB	0	root
21	ayer	ADV	20	advmod
22	que	SCONJ	30	mark
23	,	PUNCT	27	punct
24	pese	NOUN	27	case
25	a	ADP	24	fixed
26	sus	DET	27	det
27	cargos	NOUN	30	obl
28	,	PUNCT	27	punct
29	no	ADV	30	advmod
30	dispuso	VERB	20	ccomp
31	de	ADP	33	case
32	ninguna	DET	33	det
33	información	NOUN	30	obj
34	sobre	ADP	36	case
35	el	DET	36	det
36	caso	NOUN	33	nmod
37	Lasa	PROPN	36	appos
38	y	CCONJ	39	cc
39	Zabala	PROPN	37	conj
40	.	PUNCT	20	punct