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:
La Policía Nacional ha detenido a trece jóvenes de entre 18 y 25 años, relacionados con grupos de ultraderecha de Italia y Croacia, como presuntos autores de los incendios provocados la madrugada de ayer a distintas sedes locales del Partido Popular, PSOE y Esquerra Unida.
Postion	Tokenization
1	La
2	Policía
3	Nacional
4	ha
5	detenido
6	a
7	trece
8	jóvenes
9	de
10	entre
11	18
12	y
13	25
14	años
15	,
16	relacionados
17	con
18	grupos
19	de
20	ultraderecha
21	de
22	Italia
23	y
24	Croacia
25	,
26	como
27	presuntos
28	autores
29	de
30	los
31	incendios
32	provocados
33	la
34	madrugada
35	de
36	ayer
37	a
38	distintas
39	sedes
40	locales
41	del
42	Partido
43	Popular
44	,
45	PSOE
46	y
47	Esquerra
48	Unida
49	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Policía	PROPN	5	nsubj
3	Nacional	PROPN	2	flat
4	ha	AUX	5	aux
5	detenido	VERB	0	root
6	a	ADP	8	case
7	trece	NUM	8	nummod
8	jóvenes	NOUN	5	obj
9	de	ADP	14	case
10	entre	ADP	11	case
11	18	NUM	14	nummod
12	y	CCONJ	13	cc
13	25	NUM	11	conj
14	años	NOUN	8	nmod
15	,	PUNCT	16	punct
16	relacionados	ADJ	8	amod
17	con	ADP	18	case
18	grupos	NOUN	16	obj
19	de	ADP	20	case
20	ultraderecha	NOUN	18	nmod
21	de	ADP	22	case
22	Italia	PROPN	18	nmod
23	y	CCONJ	24	cc
24	Croacia	PROPN	22	conj
25	,	PUNCT	28	punct
26	como	SCONJ	28	mark
27	presuntos	ADJ	28	amod
28	autores	NOUN	5	obl
29	de	ADP	31	case
30	los	DET	31	det
31	incendios	NOUN	28	nmod
32	provocados	ADJ	31	amod
33	la	DET	34	det
34	madrugada	NOUN	32	obl
35	de	ADP	36	case
36	ayer	ADV	34	advmod
37	a	ADP	39	case
38	distintas	DET	39	det
39	sedes	NOUN	32	obl
40	locales	ADJ	39	amod
41	del	ADP	42	case
42	Partido	PROPN	39	nmod
43	Popular	PROPN	42	flat
44	,	PUNCT	45	punct
45	PSOE	PROPN	42	flat
46	y	CCONJ	47	cc
47	Esquerra	PROPN	42	conj
48	Unida	PROPN	47	flat
49	.	PUNCT	5	punct