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:
Por ejemplo, sólo el 2% de niños de 0 a 3 años en España están atendidos en escuelas de infancia de financiación pública, comparado con un 33% en Suecia, un 23% en Francia y un 30% en Bélgica.
Postion	Tokenization
1	Por
2	ejemplo
3	,
4	sólo
5	el
6	2%
7	de
8	niños
9	de
10	0
11	a
12	3
13	años
14	en
15	España
16	están
17	atendidos
18	en
19	escuelas
20	de
21	infancia
22	de
23	financiación
24	pública
25	,
26	comparado
27	con
28	un
29	33%
30	en
31	Suecia
32	,
33	un
34	23%
35	en
36	Francia
37	y
38	un
39	30%
40	en
41	Bélgica
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	17	advmod
2	ejemplo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	sólo	ADV	6	advmod
5	el	DET	6	det
6	2%	SYM	17	nsubj
7	de	ADP	8	case
8	niños	NOUN	6	nmod
9	de	ADP	10	case
10	0	NUM	8	nummod
11	a	ADP	13	case
12	3	NUM	13	nummod
13	años	NOUN	10	nmod
14	en	ADP	15	case
15	España	PROPN	8	nmod
16	están	AUX	17	cop
17	atendidos	ADJ	0	root
18	en	ADP	19	case
19	escuelas	NOUN	17	obl
20	de	ADP	21	case
21	infancia	NOUN	19	nmod
22	de	ADP	23	case
23	financiación	NOUN	19	nmod
24	pública	ADJ	23	amod
25	,	PUNCT	26	punct
26	comparado	ADJ	17	advmod
27	con	ADP	29	case
28	un	DET	29	det
29	33%	SYM	26	obj
30	en	ADP	31	case
31	Suecia	PROPN	29	nmod
32	,	PUNCT	34	punct
33	un	DET	34	det
34	23%	SYM	29	appos
35	en	ADP	36	case
36	Francia	PROPN	34	nmod
37	y	CCONJ	39	cc
38	un	DET	39	det
39	30%	SYM	29	conj
40	en	ADP	41	case
41	Bélgica	PROPN	39	nmod
42	.	PUNCT	17	punct