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 Jefe Superior de Policía de la Comunidad Valenciana, Segundo Martínez, aseguró que en los próximos días se efectuarán más detenciones, ya que desde la creación de "Armagedon", en diciembre de 1998, efectivos policiales están investigando sus actividades y algunos de sus presuntos componentes ya han sido detenidos con anterioridad por provocar reyertas en campos de fútbol de Valencia, Albacete y Madrid.
Postion	Tokenization
1	El
2	Jefe
3	Superior
4	de
5	Policía
6	de
7	la
8	Comunidad
9	Valenciana
10	,
11	Segundo
12	Martínez
13	,
14	aseguró
15	que
16	en
17	los
18	próximos
19	días
20	se
21	efectuarán
22	más
23	detenciones
24	,
25	ya
26	que
27	desde
28	la
29	creación
30	de
31	"
32	Armagedon
33	"
34	,
35	en
36	diciembre
37	de
38	1998
39	,
40	efectivos
41	policiales
42	están
43	investigando
44	sus
45	actividades
46	y
47	algunos
48	de
49	sus
50	presuntos
51	componentes
52	ya
53	han
54	sido
55	detenidos
56	con
57	anterioridad
58	por
59	provocar
60	reyertas
61	en
62	campos
63	de
64	fútbol
65	de
66	Valencia
67	,
68	Albacete
69	y
70	Madrid
71	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Jefe	PROPN	14	nsubj
3	Superior	PROPN	2	flat
4	de	ADP	5	case
5	Policía	PROPN	2	flat
6	de	ADP	8	case
7	la	DET	8	det
8	Comunidad	PROPN	2	nmod
9	Valenciana	PROPN	8	flat
10	,	PUNCT	11	punct
11	Segundo	ADJ	2	flat
12	Martínez	PROPN	11	flat
13	,	PUNCT	11	punct
14	aseguró	VERB	0	root
15	que	SCONJ	21	mark
16	en	ADP	19	case
17	los	DET	19	det
18	próximos	ADJ	19	amod
19	días	NOUN	21	obl
20	se	PRON	21	expl:pass
21	efectuarán	VERB	14	ccomp
22	más	ADV	23	advmod
23	detenciones	NOUN	21	nsubj
24	,	PUNCT	43	punct
25	ya	ADV	43	mark
26	que	SCONJ	25	fixed
27	desde	ADP	29	case
28	la	DET	29	det
29	creación	NOUN	43	obl
30	de	ADP	32	case
31	"	PUNCT	32	punct
32	Armagedon	PROPN	29	nmod
33	"	PUNCT	32	punct
34	,	PUNCT	36	punct
35	en	ADP	36	case
36	diciembre	NOUN	29	nmod
37	de	ADP	38	case
38	1998	NUM	36	compound
39	,	PUNCT	36	punct
40	efectivos	NOUN	43	nsubj
41	policiales	ADJ	40	amod
42	están	AUX	43	aux
43	investigando	VERB	21	advcl
44	sus	DET	45	det
45	actividades	NOUN	43	obj
46	y	CCONJ	55	cc
47	algunos	PRON	55	nsubj
48	de	ADP	51	case
49	sus	DET	51	det
50	presuntos	ADJ	51	amod
51	componentes	NOUN	47	nmod
52	ya	ADV	55	advmod
53	han	AUX	55	aux
54	sido	AUX	55	aux
55	detenidos	VERB	43	conj
56	con	ADP	57	case
57	anterioridad	NOUN	55	obl
58	por	ADP	59	mark
59	provocar	VERB	55	advcl
60	reyertas	NOUN	59	obj
61	en	ADP	62	case
62	campos	NOUN	59	obl
63	de	ADP	64	case
64	fútbol	NOUN	62	nmod
65	de	ADP	66	case
66	Valencia	PROPN	62	nmod
67	,	PUNCT	68	punct
68	Albacete	PROPN	66	conj
69	y	CCONJ	70	cc
70	Madrid	PROPN	66	conj
71	.	PUNCT	14	punct