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 todo caso, los cuatro goles que se encajaron en los 90 minutos de juego, bajo una intensa lluvia, fueron un buen premio para los casi 2.000 espectadores que se atrevieron a asistir al estadio.
Postion	Tokenization
1	En
2	todo
3	caso
4	,
5	los
6	cuatro
7	goles
8	que
9	se
10	encajaron
11	en
12	los
13	90
14	minutos
15	de
16	juego
17	,
18	bajo
19	una
20	intensa
21	lluvia
22	,
23	fueron
24	un
25	buen
26	premio
27	para
28	los
29	casi
30	2.000
31	espectadores
32	que
33	se
34	atrevieron
35	a
36	asistir
37	al
38	estadio
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	26	advmod
2	todo	PRON	1	fixed
3	caso	NOUN	1	fixed
4	,	PUNCT	1	punct
5	los	DET	7	det
6	cuatro	NUM	5	nummod
7	goles	NOUN	26	nsubj
8	que	PRON	10	nsubj
9	se	PRON	10	expl:pass
10	encajaron	VERB	7	acl
11	en	ADP	14	case
12	los	DET	13	det
13	90	NUM	14	nummod
14	minutos	NOUN	10	obl
15	de	ADP	16	case
16	juego	NOUN	14	nmod
17	,	PUNCT	21	punct
18	bajo	ADP	21	case
19	una	DET	21	det
20	intensa	ADJ	21	amod
21	lluvia	NOUN	10	obl
22	,	PUNCT	21	punct
23	fueron	AUX	26	cop
24	un	DET	26	det
25	buen	ADJ	26	amod
26	premio	NOUN	0	root
27	para	ADP	31	case
28	los	DET	30	det
29	casi	ADV	30	advmod
30	2.000	NOUN	31	nmod
31	espectadores	NOUN	26	nmod
32	que	PRON	34	nsubj
33	se	PRON	34	expl:pv
34	atrevieron	VERB	31	acl
35	a	ADP	36	mark
36	asistir	VERB	34	xcomp
37	al	ADP	38	case
38	estadio	NOUN	36	obl
39	.	PUNCT	26	punct