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:
Así, mientras el viaje en el Turbocat costaba en promedio 138 euros (22.961 pesetas), en un avión de última hora se pueden llegar a pagar hasta 249 (41.430 pesetas), casi el doble.
Postion	Tokenization
1	Así
2	,
3	mientras
4	el
5	viaje
6	en
7	el
8	Turbocat
9	costaba
10	en
11	promedio
12	138
13	euros
14	(
15	22.961
16	pesetas
17	)
18	,
19	en
20	un
21	avión
22	de
23	última
24	hora
25	se
26	pueden
27	llegar
28	a
29	pagar
30	hasta
31	249
32	(
33	41.430
34	pesetas
35	)
36	,
37	casi
38	el
39	doble
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Así	ADV	27	advmod
2	,	PUNCT	1	punct
3	mientras	SCONJ	9	mark
4	el	DET	5	det
5	viaje	NOUN	9	nsubj
6	en	ADP	8	case
7	el	DET	8	det
8	Turbocat	PROPN	5	nmod
9	costaba	VERB	29	advcl
10	en	ADP	11	case
11	promedio	NOUN	9	obl
12	138	NUM	13	nummod
13	euros	NOUN	9	obj
14	(	PUNCT	16	punct
15	22.961	NUM	16	nummod
16	pesetas	NOUN	13	appos
17	)	PUNCT	16	punct
18	,	PUNCT	9	punct
19	en	ADP	21	case
20	un	DET	21	det
21	avión	NOUN	27	obl
22	de	ADP	24	case
23	última	ADJ	24	amod
24	hora	NOUN	21	nmod
25	se	PRON	29	expl:pass
26	pueden	AUX	27	aux
27	llegar	VERB	0	root
28	a	ADP	29	mark
29	pagar	VERB	27	xcomp
30	hasta	ADV	31	advmod
31	249	NUM	27	nsubj
32	(	PUNCT	34	punct
33	41.430	NUM	34	nummod
34	pesetas	NOUN	31	appos
35	)	PUNCT	34	punct
36	,	PUNCT	39	punct
37	casi	ADV	39	advmod
38	el	DET	39	det
39	doble	ADJ	31	appos
40	.	PUNCT	27	punct