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:
Sí se ampliará la ayuda de 55.000 pesetas (330,6 euros) para familias con ingresos inferiores a 2,4 millones brutos anuales e hijos con menos de tres años.
Postion	Tokenization
1	Sí
2	se
3	ampliará
4	la
5	ayuda
6	de
7	55.000
8	pesetas
9	(
10	330,6
11	euros
12	)
13	para
14	familias
15	con
16	ingresos
17	inferiores
18	a
19	2,4
20	millones
21	brutos
22	anuales
23	e
24	hijos
25	con
26	menos
27	de
28	tres
29	años
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Sí	INTJ	3	advcl
2	se	PRON	3	expl:pass
3	ampliará	VERB	0	root
4	la	DET	5	det
5	ayuda	NOUN	3	nsubj
6	de	ADP	8	case
7	55.000	NUM	8	nummod
8	pesetas	NOUN	5	nmod
9	(	PUNCT	11	punct
10	330,6	NUM	11	nummod
11	euros	NOUN	8	appos
12	)	PUNCT	11	punct
13	para	ADP	14	case
14	familias	NOUN	5	nmod
15	con	ADP	16	case
16	ingresos	NOUN	14	nmod
17	inferiores	ADJ	16	amod
18	a	ADP	20	case
19	2,4	NUM	20	nummod
20	millones	NOUN	17	nmod
21	brutos	ADJ	20	amod
22	anuales	ADJ	20	amod
23	e	CCONJ	24	cc
24	hijos	NOUN	16	conj
25	con	ADP	26	case
26	menos	ADV	24	advmod
27	de	ADP	29	case
28	tres	NUM	29	nummod
29	años	NOUN	26	obl
30	.	PUNCT	3	punct