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 las estadísticas judiciales, más de un 30% de los divorciados que deben pagar una pensión a su cónyuge e hijos no lo hace.
Postion	Tokenization
1	Según
2	las
3	estadísticas
4	judiciales
5	,
6	más
7	de
8	un
9	30%
10	de
11	los
12	divorciados
13	que
14	deben
15	pagar
16	una
17	pensión
18	a
19	su
20	cónyuge
21	e
22	hijos
23	no
24	lo
25	hace
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	las	DET	3	det
3	estadísticas	NOUN	25	obl
4	judiciales	ADJ	3	amod
5	,	PUNCT	3	punct
6	más	ADV	8	advmod
7	de	ADP	8	case
8	un	PRON	9	nmod
9	30%	SYM	25	nsubj
10	de	ADP	12	case
11	los	DET	12	det
12	divorciados	NOUN	9	nmod
13	que	PRON	15	nsubj
14	deben	AUX	15	aux
15	pagar	VERB	12	acl
16	una	DET	17	det
17	pensión	NOUN	15	obj
18	a	ADP	20	case
19	su	DET	20	det
20	cónyuge	NOUN	15	obj
21	e	CCONJ	22	cc
22	hijos	NOUN	20	conj
23	no	ADV	25	advmod
24	lo	PRON	25	obj
25	hace	VERB	0	root
26	.	PUNCT	25	punct