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:
En materia de seguridad anunció la profesionalización y la ampliación de la cobertura de la Policía Nacional Civil, reformar el sistema penitenciario y migratorio, y pidió a la comunidad internacional su apoyo para atender ese grave problema.
Postion	Tokenization
1	En
2	materia
3	de
4	seguridad
5	anunció
6	la
7	profesionalización
8	y
9	la
10	ampliación
11	de
12	la
13	cobertura
14	de
15	la
16	Policía
17	Nacional
18	Civil
19	,
20	reformar
21	el
22	sistema
23	penitenciario
24	y
25	migratorio
26	,
27	y
28	pidió
29	a
30	la
31	comunidad
32	internacional
33	su
34	apoyo
35	para
36	atender
37	ese
38	grave
39	problema
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	materia	NOUN	1	fixed
3	de	ADP	1	fixed
4	seguridad	NOUN	5	obl
5	anunció	VERB	0	root
6	la	DET	7	det
7	profesionalización	NOUN	5	obj
8	y	CCONJ	10	cc
9	la	DET	10	det
10	ampliación	NOUN	7	conj
11	de	ADP	13	case
12	la	DET	13	det
13	cobertura	NOUN	10	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	Policía	PROPN	7	nmod
17	Nacional	PROPN	16	flat
18	Civil	PROPN	16	flat
19	,	PUNCT	7	punct
20	reformar	VERB	7	acl
21	el	DET	22	det
22	sistema	NOUN	20	obj
23	penitenciario	ADJ	22	amod
24	y	CCONJ	25	cc
25	migratorio	ADJ	23	conj
26	,	PUNCT	28	punct
27	y	CCONJ	28	cc
28	pidió	VERB	5	conj
29	a	ADP	31	case
30	la	DET	31	det
31	comunidad	NOUN	28	obj
32	internacional	ADJ	31	amod
33	su	DET	34	det
34	apoyo	NOUN	28	obj
35	para	ADP	36	mark
36	atender	VERB	28	advcl
37	ese	DET	39	det
38	grave	ADJ	39	amod
39	problema	NOUN	36	obj
40	.	PUNCT	5	punct