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:
"Y como eso se sabe, intentarán ensuciar con todo tipo de cosas la campaña, porque han sido una oposición mala e incapaz de plantear una alternativa constructiva a la sociedad española", explicó Aznar, ante unas mil personas en un mitin del PP en Melilla.
Postion	Tokenization
1	"
2	Y
3	como
4	eso
5	se
6	sabe
7	,
8	intentarán
9	ensuciar
10	con
11	todo
12	tipo
13	de
14	cosas
15	la
16	campaña
17	,
18	porque
19	han
20	sido
21	una
22	oposición
23	mala
24	e
25	incapaz
26	de
27	plantear
28	una
29	alternativa
30	constructiva
31	a
32	la
33	sociedad
34	española
35	"
36	,
37	explicó
38	Aznar
39	,
40	ante
41	unas
42	mil
43	personas
44	en
45	un
46	mitin
47	del
48	PP
49	en
50	Melilla
51	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Y	CCONJ	8	advmod
3	como	SCONJ	6	mark
4	eso	PRON	6	nsubj
5	se	PRON	6	expl:pass
6	sabe	VERB	8	advcl
7	,	PUNCT	6	punct
8	intentarán	VERB	37	ccomp
9	ensuciar	VERB	8	xcomp
10	con	ADP	12	case
11	todo	DET	12	det
12	tipo	NOUN	9	obl
13	de	ADP	14	case
14	cosas	NOUN	12	nmod
15	la	DET	16	det
16	campaña	NOUN	9	obj
17	,	PUNCT	22	punct
18	porque	SCONJ	22	mark
19	han	AUX	22	aux
20	sido	AUX	22	cop
21	una	DET	22	det
22	oposición	NOUN	8	advcl
23	mala	ADJ	22	amod
24	e	CCONJ	25	cc
25	incapaz	ADJ	23	conj
26	de	ADP	27	mark
27	plantear	VERB	25	acl
28	una	DET	29	det
29	alternativa	NOUN	27	obj
30	constructiva	ADJ	29	amod
31	a	ADP	33	case
32	la	DET	33	det
33	sociedad	NOUN	27	obj
34	española	ADJ	33	amod
35	"	PUNCT	8	punct
36	,	PUNCT	8	punct
37	explicó	VERB	0	root
38	Aznar	PROPN	37	nsubj
39	,	PUNCT	43	punct
40	ante	ADP	43	case
41	unas	DET	43	det
42	mil	NUM	41	nummod
43	personas	NOUN	37	obl
44	en	ADP	46	case
45	un	DET	46	det
46	mitin	NOUN	37	obl
47	del	ADP	48	case
48	PP	PROPN	46	nmod
49	en	ADP	50	case
50	Melilla	PROPN	46	nmod
51	.	PUNCT	37	punct