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:
Según el ministro, al contrario de lo que anunciaron algunos de que el PP rebajaría las pensiones, "no sólo no se han rebajado sino que se han subido sensiblemente".
Postion	Tokenization
1	Según
2	el
3	ministro
4	,
5	al
6	contrario
7	de
8	lo
9	que
10	anunciaron
11	algunos
12	de
13	que
14	el
15	PP
16	rebajaría
17	las
18	pensiones
19	,
20	"
21	no
22	sólo
23	no
24	se
25	han
26	rebajado
27	sino
28	que
29	se
30	han
31	subido
32	sensiblemente
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	ministro	NOUN	26	obl
4	,	PUNCT	5	punct
5	al	ADP	26	advmod
6	contrario	NOUN	5	fixed
7	de	ADP	10	mark
8	lo	PRON	10	det
9	que	PRON	10	iobj
10	anunciaron	VERB	5	advcl
11	algunos	PRON	10	nsubj
12	de	ADP	16	mark
13	que	SCONJ	16	mark
14	el	DET	15	det
15	PP	PROPN	16	nsubj
16	rebajaría	VERB	10	ccomp
17	las	DET	18	det
18	pensiones	NOUN	16	obj
19	,	PUNCT	5	punct
20	"	PUNCT	26	punct
21	no	PART	26	cc
22	sólo	ADV	21	fixed
23	no	ADV	26	advmod
24	se	PRON	26	expl:pass
25	han	AUX	26	aux
26	rebajado	VERB	0	root
27	sino	CCONJ	31	cc
28	que	SCONJ	27	fixed
29	se	PRON	31	expl:pass
30	han	AUX	31	aux
31	subido	VERB	26	conj
32	sensiblemente	ADV	31	advmod
33	"	PUNCT	26	punct
34	.	PUNCT	26	punct