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:
El responsable policial de los Mossos d'Esquadra en Ponent, Joan Martínez Roma, admitió ayer que "fue un error no avisar a la Guardia Civil" cuando el Jueves por la noche tuvieron cortado el centro de Lleida durante cinco horas en espera de que llegaran sus artificieros para comprobar un maletín sospechoso.
Postion	Tokenization
1	El
2	responsable
3	policial
4	de
5	los
6	Mossos
7	d'Esquadra
8	en
9	Ponent
10	,
11	Joan
12	Martínez
13	Roma
14	,
15	admitió
16	ayer
17	que
18	"
19	fue
20	un
21	error
22	no
23	avisar
24	a
25	la
26	Guardia
27	Civil
28	"
29	cuando
30	el
31	Jueves
32	por
33	la
34	noche
35	tuvieron
36	cortado
37	el
38	centro
39	de
40	Lleida
41	durante
42	cinco
43	horas
44	en
45	espera
46	de
47	que
48	llegaran
49	sus
50	artificieros
51	para
52	comprobar
53	un
54	maletín
55	sospechoso
56	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	responsable	NOUN	15	nsubj
3	policial	ADJ	2	amod
4	de	ADP	6	case
5	los	DET	6	det
6	Mossos	PROPN	2	nmod
7	d'Esquadra	PROPN	6	flat
8	en	ADP	9	case
9	Ponent	PROPN	2	nmod
10	,	PUNCT	11	punct
11	Joan	PROPN	2	appos
12	Martínez	PROPN	11	flat
13	Roma	PROPN	11	flat
14	,	PUNCT	11	punct
15	admitió	VERB	0	root
16	ayer	ADV	15	advmod
17	que	SCONJ	21	mark
18	"	PUNCT	21	punct
19	fue	AUX	21	cop
20	un	DET	21	det
21	error	NOUN	15	ccomp
22	no	ADV	23	advmod
23	avisar	VERB	21	csubj
24	a	ADP	26	case
25	la	DET	26	det
26	Guardia	PROPN	23	obj
27	Civil	PROPN	26	flat
28	"	PUNCT	23	punct
29	cuando	SCONJ	35	mark
30	el	DET	31	det
31	Jueves	NOUN	35	obl
32	por	ADP	34	case
33	la	DET	34	det
34	noche	NOUN	31	nmod
35	tuvieron	VERB	23	advcl
36	cortado	ADJ	35	obj
37	el	DET	38	det
38	centro	NOUN	35	obj
39	de	ADP	40	case
40	Lleida	PROPN	38	nmod
41	durante	ADP	43	case
42	cinco	NUM	43	nummod
43	horas	NOUN	35	obl
44	en	ADP	48	mark
45	espera	NOUN	44	fixed
46	de	ADP	44	fixed
47	que	SCONJ	48	mark
48	llegaran	VERB	35	advcl
49	sus	DET	50	det
50	artificieros	NOUN	48	nsubj
51	para	ADP	52	mark
52	comprobar	VERB	48	advcl
53	un	DET	54	det
54	maletín	NOUN	52	obj
55	sospechoso	ADJ	54	amod
56	.	PUNCT	15	punct