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 el Fiscal General del Estado, destacan por su importancia y frecuencia los delitos de abandono de la familia, que alcanzan las 16.450 causas, con un aumento del 10%.
Postion	Tokenization
1	Según
2	el
3	Fiscal
4	General
5	del
6	Estado
7	,
8	destacan
9	por
10	su
11	importancia
12	y
13	frecuencia
14	los
15	delitos
16	de
17	abandono
18	de
19	la
20	familia
21	,
22	que
23	alcanzan
24	las
25	16.450
26	causas
27	,
28	con
29	un
30	aumento
31	del
32	10%
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	Fiscal	PROPN	8	obl
4	General	PROPN	3	flat
5	del	ADP	6	case
6	Estado	PROPN	3	flat
7	,	PUNCT	3	punct
8	destacan	VERB	0	root
9	por	ADP	11	case
10	su	DET	11	det
11	importancia	NOUN	8	obl
12	y	CCONJ	13	cc
13	frecuencia	NOUN	11	conj
14	los	DET	15	det
15	delitos	NOUN	8	nsubj
16	de	ADP	17	case
17	abandono	NOUN	15	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	familia	NOUN	17	nmod
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	alcanzan	VERB	15	acl
24	las	DET	25	det
25	16.450	NUM	26	nummod
26	causas	NOUN	23	obj
27	,	PUNCT	30	punct
28	con	ADP	30	case
29	un	DET	30	det
30	aumento	NOUN	26	nmod
31	del	ADP	32	case
32	10%	SYM	30	nmod
33	.	PUNCT	8	punct