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:
Destacó que "por fin" el PP ha ganado en la circunscripción de Málaga tanto en las elecciones generales como en las autonómicas y en el Senado, hecho que achacó entre otros factores "al trabajo de los alcaldes, dando ejemplo".
Postion	Tokenization
1	Destacó
2	que
3	"
4	por
5	fin
6	"
7	el
8	PP
9	ha
10	ganado
11	en
12	la
13	circunscripción
14	de
15	Málaga
16	tanto
17	en
18	las
19	elecciones
20	generales
21	como
22	en
23	las
24	autonómicas
25	y
26	en
27	el
28	Senado
29	,
30	hecho
31	que
32	achacó
33	entre
34	otros
35	factores
36	"
37	al
38	trabajo
39	de
40	los
41	alcaldes
42	,
43	dando
44	ejemplo
45	"
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Destacó	VERB	0	root
2	que	SCONJ	10	mark
3	"	PUNCT	4	punct
4	por	ADP	10	advmod
5	fin	NOUN	4	fixed
6	"	PUNCT	4	punct
7	el	DET	8	det
8	PP	PROPN	10	nsubj
9	ha	AUX	10	aux
10	ganado	VERB	1	ccomp
11	en	ADP	13	case
12	la	DET	13	det
13	circunscripción	NOUN	10	obl
14	de	ADP	15	case
15	Málaga	PROPN	13	nmod
16	tanto	ADV	19	cc
17	en	ADP	19	case
18	las	DET	19	det
19	elecciones	NOUN	13	nmod
20	generales	ADJ	19	amod
21	como	SCONJ	24	cc
22	en	ADP	24	case
23	las	DET	24	det
24	autonómicas	ADJ	19	conj
25	y	CCONJ	28	cc
26	en	ADP	28	case
27	el	DET	28	det
28	Senado	PROPN	13	conj
29	,	PUNCT	30	punct
30	hecho	NOUN	1	iobj
31	que	PRON	32	obj
32	achacó	VERB	30	acl
33	entre	ADP	35	case
34	otros	DET	35	det
35	factores	NOUN	32	obl
36	"	PUNCT	38	punct
37	al	ADP	38	case
38	trabajo	NOUN	32	obj
39	de	ADP	41	case
40	los	DET	41	det
41	alcaldes	NOUN	38	nmod
42	,	PUNCT	43	punct
43	dando	VERB	38	acl
44	ejemplo	NOUN	43	obj
45	"	PUNCT	38	punct
46	.	PUNCT	1	punct