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:
Al descubrir un sospechoso maletín metálico bajo unos bancos, los Mossos acordonaron desde las 17.30 a las 22.30 horas la céntrica plaza de Ricard Vinyes, restringiendo severamente el tráfico hasta la llegada del equipo de artificieros, que centralizan sus tareas desde Barcelona.
Postion	Tokenization
1	Al
2	descubrir
3	un
4	sospechoso
5	maletín
6	metálico
7	bajo
8	unos
9	bancos
10	,
11	los
12	Mossos
13	acordonaron
14	desde
15	las
16	17.30
17	a
18	las
19	22.30
20	horas
21	la
22	céntrica
23	plaza
24	de
25	Ricard
26	Vinyes
27	,
28	restringiendo
29	severamente
30	el
31	tráfico
32	hasta
33	la
34	llegada
35	del
36	equipo
37	de
38	artificieros
39	,
40	que
41	centralizan
42	sus
43	tareas
44	desde
45	Barcelona
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	descubrir	VERB	13	advcl
3	un	DET	5	det
4	sospechoso	ADJ	5	amod
5	maletín	NOUN	2	obj
6	metálico	ADJ	5	amod
7	bajo	ADP	9	case
8	unos	DET	9	det
9	bancos	NOUN	2	obl
10	,	PUNCT	2	punct
11	los	DET	12	det
12	Mossos	PROPN	13	nsubj
13	acordonaron	VERB	0	root
14	desde	ADP	16	case
15	las	DET	16	det
16	17.30	NUM	13	obl
17	a	ADP	20	cc
18	las	DET	19	det
19	22.30	NUM	20	nummod
20	horas	NOUN	16	conj
21	la	DET	23	det
22	céntrica	ADJ	23	amod
23	plaza	NOUN	13	obj
24	de	ADP	25	case
25	Ricard	PROPN	23	nmod
26	Vinyes	PROPN	25	flat
27	,	PUNCT	28	punct
28	restringiendo	VERB	13	advcl
29	severamente	ADV	28	advmod
30	el	DET	31	det
31	tráfico	NOUN	28	obj
32	hasta	ADP	34	case
33	la	DET	34	det
34	llegada	NOUN	28	obl
35	del	ADP	36	case
36	equipo	NOUN	34	nmod
37	de	ADP	38	case
38	artificieros	NOUN	36	nmod
39	,	PUNCT	41	punct
40	que	PRON	41	nsubj
41	centralizan	VERB	38	acl
42	sus	DET	43	det
43	tareas	NOUN	41	obj
44	desde	ADP	45	case
45	Barcelona	PROPN	41	obl
46	.	PUNCT	13	punct