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:
El Gobierno italiano no modificará finalmente las pensiones - - como se especuló antes del verano - -, pero introducirá un impuesto específico del 2% sobre los beneficiarios de las llamadas en Italia pensiones de oro, aquellas percepciones públicas que superan los 11,8 millones de pesetas anuales.
Postion	Tokenization
1	El
2	Gobierno
3	italiano
4	no
5	modificará
6	finalmente
7	las
8	pensiones
9	-
10	-
11	como
12	se
13	especuló
14	antes
15	del
16	verano
17	-
18	-
19	,
20	pero
21	introducirá
22	un
23	impuesto
24	específico
25	del
26	2%
27	sobre
28	los
29	beneficiarios
30	de
31	las
32	llamadas
33	en
34	Italia
35	pensiones
36	de
37	oro
38	,
39	aquellas
40	percepciones
41	públicas
42	que
43	superan
44	los
45	11,8
46	millones
47	de
48	pesetas
49	anuales
50	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	5	nsubj
3	italiano	ADJ	2	amod
4	no	ADV	5	advmod
5	modificará	VERB	0	root
6	finalmente	ADV	5	advmod
7	las	DET	8	det
8	pensiones	NOUN	5	obj
9	-	PUNCT	13	punct
10	-	PUNCT	13	punct
11	como	SCONJ	13	mark
12	se	PRON	13	expl:pass
13	especuló	VERB	5	advcl
14	antes	ADV	13	advmod
15	del	ADP	16	case
16	verano	NOUN	14	obl
17	-	PUNCT	13	punct
18	-	PUNCT	13	punct
19	,	PUNCT	21	punct
20	pero	CCONJ	21	cc
21	introducirá	VERB	5	conj
22	un	DET	23	det
23	impuesto	NOUN	21	obj
24	específico	ADJ	23	amod
25	del	ADP	26	case
26	2%	SYM	23	nmod
27	sobre	ADP	29	case
28	los	DET	29	det
29	beneficiarios	NOUN	23	nmod
30	de	ADP	35	case
31	las	DET	35	det
32	llamadas	ADJ	35	amod
33	en	ADP	34	case
34	Italia	PROPN	32	obl
35	pensiones	NOUN	29	nmod
36	de	ADP	37	case
37	oro	NOUN	35	nmod
38	,	PUNCT	40	punct
39	aquellas	DET	40	det
40	percepciones	NOUN	35	appos
41	públicas	ADJ	40	amod
42	que	PRON	43	nsubj
43	superan	VERB	40	acl
44	los	DET	45	det
45	11,8	NUM	46	nummod
46	millones	NOUN	43	obj
47	de	ADP	48	case
48	pesetas	NOUN	46	nmod
49	anuales	ADJ	46	amod
50	.	PUNCT	5	punct