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 secuestrador pidió hablar con su psiquiatra y un minibús para conducirlo al aeropuerto junto a un grupo de niños, un avión para llevarlo a Libia y un rescate de 1,5 millones de euros (250 millones de pesetas).
Postion	Tokenization
1	El
2	secuestrador
3	pidió
4	hablar
5	con
6	su
7	psiquiatra
8	y
9	un
10	minibús
11	para
12	conducirlo
13	conducir
14	lo
15	al
16	aeropuerto
17	junto
18	a
19	un
20	grupo
21	de
22	niños
23	,
24	un
25	avión
26	para
27	llevarlo
28	llevar
29	lo
30	a
31	Libia
32	y
33	un
34	rescate
35	de
36	1,5
37	millones
38	de
39	euros
40	(
41	250
42	millones
43	de
44	pesetas
45	)
46	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secuestrador	NOUN	3	nsubj
3	pidió	VERB	0	root
4	hablar	VERB	3	xcomp
5	con	ADP	7	case
6	su	DET	7	det
7	psiquiatra	NOUN	4	obl
8	y	CCONJ	10	cc
9	un	DET	10	det
10	minibús	NOUN	4	conj
11	para	ADP	12	mark
12	conducirlo	_	None	_
13	conducir	VERB	10	acl
14	lo	PRON	12	obj
15	al	ADP	15	case
16	aeropuerto	NOUN	12	obl
17	junto	ADJ	19	case
18	a	ADP	16	fixed
19	un	DET	19	det
20	grupo	NOUN	12	obl
21	de	ADP	21	case
22	niños	NOUN	19	nmod
23	,	PUNCT	24	punct
24	un	DET	24	det
25	avión	NOUN	10	appos
26	para	ADP	26	mark
27	llevarlo	_	None	_
28	llevar	VERB	24	acl
29	lo	PRON	26	obj
30	a	ADP	29	case
31	Libia	PROPN	26	obl
32	y	CCONJ	32	cc
33	un	DET	32	det
34	rescate	NOUN	24	conj
35	de	ADP	35	case
36	1,5	NUM	35	nummod
37	millones	NOUN	32	nmod
38	de	ADP	37	case
39	euros	NOUN	35	nmod
40	(	PUNCT	40	punct
41	250	NUM	40	nummod
42	millones	NOUN	35	appos
43	de	ADP	42	case
44	pesetas	NOUN	40	nmod
45	)	PUNCT	40	punct
46	.	PUNCT	3	punct