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:
Las cosas empezaron a torcerse de mala manera para el Valencia en los primeros minutos de juego, aunque el goleador Batistuta, recién recuperado de una lesión, hizo saber pronto que no era su noche.
Postion	Tokenization
1	Las
2	cosas
3	empezaron
4	a
5	torcerse
6	torcer
7	se
8	de
9	mala
10	manera
11	para
12	el
13	Valencia
14	en
15	los
16	primeros
17	minutos
18	de
19	juego
20	,
21	aunque
22	el
23	goleador
24	Batistuta
25	,
26	recién
27	recuperado
28	de
29	una
30	lesión
31	,
32	hizo
33	saber
34	pronto
35	que
36	no
37	era
38	su
39	noche
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	cosas	NOUN	3	nsubj
3	empezaron	VERB	0	root
4	a	ADP	5	mark
5	torcerse	_	None	_
6	torcer	VERB	3	xcomp
7	se	PRON	5	expl:pv
8	de	ADP	3	advmod
9	mala	ADJ	7	fixed
10	manera	NOUN	7	fixed
11	para	ADP	12	case
12	el	DET	12	det
13	Valencia	PROPN	3	obl
14	en	ADP	16	case
15	los	DET	16	det
16	primeros	ADJ	16	amod
17	minutos	NOUN	3	obl
18	de	ADP	18	case
19	juego	NOUN	16	nmod
20	,	PUNCT	31	punct
21	aunque	SCONJ	31	mark
22	el	DET	22	det
23	goleador	NOUN	31	nsubj
24	Batistuta	PROPN	22	appos
25	,	PUNCT	26	punct
26	recién	ADV	26	advmod
27	recuperado	ADJ	22	amod
28	de	ADP	29	case
29	una	DET	29	det
30	lesión	NOUN	26	obj
31	,	PUNCT	26	punct
32	hizo	VERB	5	advcl
33	saber	VERB	31	xcomp
34	pronto	ADV	31	advmod
35	que	SCONJ	38	mark
36	no	ADV	38	advmod
37	era	AUX	38	cop
38	su	DET	38	det
39	noche	NOUN	32	ccomp
40	.	PUNCT	3	punct