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 ese contexto encajaría el atentado en el que se asesinó al teniente de Ingenieros Miguel Peralta Utrera: ETA pretendería avisar a sus pretendidos extorsionados de que sigue contando en Madrid con la fuerza suficiente como para cumplir las amenazas que incluyen en sus cartas, algo que a los medios policiales les cuesta trabajo creer.
Postion	Tokenization
1	En
2	ese
3	contexto
4	encajaría
5	el
6	atentado
7	en
8	el
9	que
10	se
11	asesinó
12	al
13	teniente
14	de
15	Ingenieros
16	Miguel
17	Peralta
18	Utrera
19	:
20	ETA
21	pretendería
22	avisar
23	a
24	sus
25	pretendidos
26	extorsionados
27	de
28	que
29	sigue
30	contando
31	en
32	Madrid
33	con
34	la
35	fuerza
36	suficiente
37	como
38	para
39	cumplir
40	las
41	amenazas
42	que
43	incluyen
44	en
45	sus
46	cartas
47	,
48	algo
49	que
50	a
51	los
52	medios
53	policiales
54	les
55	cuesta
56	trabajo
57	creer
58	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	ese	DET	3	det
3	contexto	NOUN	4	obl
4	encajaría	VERB	0	root
5	el	DET	6	det
6	atentado	NOUN	4	nsubj
7	en	ADP	9	case
8	el	DET	9	det
9	que	PRON	11	obl
10	se	PRON	11	expl:pass
11	asesinó	VERB	6	acl
12	al	ADP	13	case
13	teniente	NOUN	11	obj
14	de	ADP	15	case
15	Ingenieros	PROPN	13	nmod
16	Miguel	PROPN	13	appos
17	Peralta	PROPN	16	flat
18	Utrera	PROPN	16	flat
19	:	PUNCT	21	punct
20	ETA	PROPN	21	nsubj
21	pretendería	VERB	4	advcl
22	avisar	VERB	21	xcomp
23	a	ADP	26	case
24	sus	DET	26	det
25	pretendidos	ADJ	26	amod
26	extorsionados	NOUN	22	iobj
27	de	ADP	29	mark
28	que	SCONJ	29	mark
29	sigue	VERB	22	ccomp
30	contando	VERB	29	xcomp
31	en	ADP	32	case
32	Madrid	PROPN	29	obl
33	con	ADP	35	case
34	la	DET	35	det
35	fuerza	NOUN	30	obj
36	suficiente	ADJ	35	amod
37	como	SCONJ	39	mark
38	para	ADP	39	mark
39	cumplir	VERB	35	acl
40	las	DET	41	det
41	amenazas	NOUN	39	obj
42	que	PRON	43	obj
43	incluyen	VERB	41	acl
44	en	ADP	46	case
45	sus	DET	46	det
46	cartas	NOUN	43	obl
47	,	PUNCT	48	punct
48	algo	PRON	30	obj
49	que	PRON	55	obj
50	a	ADP	52	case
51	los	DET	52	det
52	medios	NOUN	55	obj
53	policiales	ADJ	52	amod
54	les	PRON	55	obj
55	cuesta	VERB	48	acl
56	trabajo	NOUN	55	obj
57	creer	VERB	55	csubj
58	.	PUNCT	4	punct