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 desastre de Turbocat supuso a Joel y sus dos amigos "29 horas de retraso, perder un día de trabajo y gastar más de 300 euros" (50.000 pesetas, entre hotel y manutención) que nadie les abonará.
Postion	Tokenization
1	El
2	desastre
3	de
4	Turbocat
5	supuso
6	a
7	Joel
8	y
9	sus
10	dos
11	amigos
12	"
13	29
14	horas
15	de
16	retraso
17	,
18	perder
19	un
20	día
21	de
22	trabajo
23	y
24	gastar
25	más
26	de
27	300
28	euros
29	"
30	(
31	50.000
32	pesetas
33	,
34	entre
35	hotel
36	y
37	manutención
38	)
39	que
40	nadie
41	les
42	abonará
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	desastre	NOUN	5	nsubj
3	de	ADP	4	case
4	Turbocat	PROPN	2	nmod
5	supuso	VERB	0	root
6	a	ADP	7	case
7	Joel	PROPN	5	obj
8	y	CCONJ	11	cc
9	sus	DET	11	det
10	dos	NUM	9	nummod
11	amigos	NOUN	7	conj
12	"	PUNCT	14	punct
13	29	NUM	14	nummod
14	horas	NOUN	5	obj
15	de	ADP	16	case
16	retraso	NOUN	14	nmod
17	,	PUNCT	18	punct
18	perder	VERB	14	acl
19	un	DET	20	det
20	día	NOUN	18	obj
21	de	ADP	22	case
22	trabajo	NOUN	20	nmod
23	y	CCONJ	24	cc
24	gastar	VERB	14	conj
25	más	ADV	28	advmod
26	de	ADP	25	case
27	300	NUM	25	nummod
28	euros	NOUN	24	obj
29	"	PUNCT	28	punct
30	(	PUNCT	32	punct
31	50.000	NUM	32	nummod
32	pesetas	NOUN	28	appos
33	,	PUNCT	35	punct
34	entre	ADP	35	case
35	hotel	NOUN	32	nmod
36	y	CCONJ	37	cc
37	manutención	NOUN	35	conj
38	)	PUNCT	32	punct
39	que	PRON	42	obj
40	nadie	PRON	42	nsubj
41	les	PRON	42	obj
42	abonará	VERB	28	acl
43	.	PUNCT	5	punct