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:
Frente al riesgo que supone para los propios terroristas hacer efectivas sus exigencias, los etarras han realizado secuestros en diferentes puntos de la geografía española que han afectado a apellidos ilustres de las finanzas españolas, entre los que cabe destacar a Diego Prado y Colón de Carvajal, Emiliano Revilla, Luis Súñer, el padre del cantante Julio Iglesias y el industrial catalán José Serra Santamans.
Postion	Tokenization
1	Frente
2	al
3	riesgo
4	que
5	supone
6	para
7	los
8	propios
9	terroristas
10	hacer
11	efectivas
12	sus
13	exigencias
14	,
15	los
16	etarras
17	han
18	realizado
19	secuestros
20	en
21	diferentes
22	puntos
23	de
24	la
25	geografía
26	española
27	que
28	han
29	afectado
30	a
31	apellidos
32	ilustres
33	de
34	las
35	finanzas
36	españolas
37	,
38	entre
39	los
40	que
41	cabe
42	destacar
43	a
44	Diego
45	Prado
46	y
47	Colón
48	de
49	Carvajal
50	,
51	Emiliano
52	Revilla
53	,
54	Luis
55	Súñer
56	,
57	el
58	padre
59	del
60	cantante
61	Julio
62	Iglesias
63	y
64	el
65	industrial
66	catalán
67	José
68	Serra
69	Santamans
70	.
Position	Tokenization	UPOS	Head	Deprel
1	Frente	NOUN	3	case
2	al	ADP	1	fixed
3	riesgo	NOUN	18	obl
4	que	PRON	5	obj
5	supone	VERB	3	acl
6	para	ADP	9	case
7	los	DET	9	det
8	propios	DET	7	det
9	terroristas	NOUN	5	obj
10	hacer	VERB	5	csubj
11	efectivas	ADJ	10	obj
12	sus	DET	13	det
13	exigencias	NOUN	10	obj
14	,	PUNCT	3	punct
15	los	DET	16	det
16	etarras	NOUN	18	nsubj
17	han	AUX	18	aux
18	realizado	VERB	0	root
19	secuestros	NOUN	18	obj
20	en	ADP	22	case
21	diferentes	DET	22	det
22	puntos	NOUN	19	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	geografía	NOUN	22	nmod
26	española	ADJ	25	amod
27	que	PRON	29	nsubj
28	han	AUX	29	aux
29	afectado	VERB	19	acl
30	a	ADP	31	case
31	apellidos	NOUN	29	obj
32	ilustres	ADJ	31	amod
33	de	ADP	35	case
34	las	DET	35	det
35	finanzas	NOUN	31	nmod
36	españolas	ADJ	35	amod
37	,	PUNCT	41	punct
38	entre	ADP	40	case
39	los	DET	40	det
40	que	PRON	41	obl
41	cabe	VERB	31	acl
42	destacar	VERB	41	xcomp
43	a	ADP	44	case
44	Diego	PROPN	42	obj
45	Prado	PROPN	44	flat
46	y	CCONJ	47	cc
47	Colón	PROPN	44	conj
48	de	ADP	49	case
49	Carvajal	PROPN	47	flat
50	,	PUNCT	51	punct
51	Emiliano	PROPN	44	flat
52	Revilla	PROPN	51	flat
53	,	PUNCT	54	punct
54	Luis	PROPN	44	flat
55	Súñer	PROPN	54	flat
56	,	PUNCT	58	punct
57	el	DET	58	det
58	padre	NOUN	44	appos
59	del	ADP	60	case
60	cantante	NOUN	58	nmod
61	Julio	PROPN	60	appos
62	Iglesias	PROPN	61	flat
63	y	CCONJ	65	cc
64	el	DET	65	det
65	industrial	NOUN	44	conj
66	catalán	ADJ	65	amod
67	José	PROPN	65	appos
68	Serra	PROPN	67	flat
69	Santamans	PROPN	67	flat
70	.	PUNCT	18	punct