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:
Pujol recalcó que no se trata de una subida de pensiones, sino de una "compensación" por la pérdida de poder adquisitivo de las pensiones catalanas a causa del diferencial de inflación con la media española.
Postion	Tokenization
1	Pujol
2	recalcó
3	que
4	no
5	se
6	trata
7	de
8	una
9	subida
10	de
11	pensiones
12	,
13	sino
14	de
15	una
16	"
17	compensación
18	"
19	por
20	la
21	pérdida
22	de
23	poder
24	adquisitivo
25	de
26	las
27	pensiones
28	catalanas
29	a
30	causa
31	del
32	diferencial
33	de
34	inflación
35	con
36	la
37	media
38	española
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Pujol	PROPN	2	nsubj
2	recalcó	VERB	0	root
3	que	SCONJ	6	mark
4	no	ADV	6	advmod
5	se	PRON	6	expl:impers
6	trata	VERB	2	ccomp
7	de	ADP	9	case
8	una	DET	9	det
9	subida	NOUN	6	obj
10	de	ADP	11	case
11	pensiones	NOUN	9	nmod
12	,	PUNCT	17	punct
13	sino	CCONJ	17	cc
14	de	ADP	17	case
15	una	DET	17	det
16	"	PUNCT	17	punct
17	compensación	NOUN	6	conj
18	"	PUNCT	17	punct
19	por	ADP	21	case
20	la	DET	21	det
21	pérdida	NOUN	17	nmod
22	de	ADP	23	case
23	poder	NOUN	21	nmod
24	adquisitivo	ADJ	23	amod
25	de	ADP	27	case
26	las	DET	27	det
27	pensiones	NOUN	21	nmod
28	catalanas	ADJ	27	amod
29	a	ADP	32	case
30	causa	NOUN	29	fixed
31	del	ADP	29	fixed
32	diferencial	NOUN	21	nmod
33	de	ADP	34	case
34	inflación	NOUN	32	nmod
35	con	ADP	37	case
36	la	DET	37	det
37	media	NOUN	32	nmod
38	española	ADJ	37	amod
39	.	PUNCT	2	punct