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:
Los pocos aficionados que se dieron cita en el Camp d'Esports se llevaron un susto de muerte y, al final, el empate supo mejor de lo que cabía esperar.
Postion	Tokenization
1	Los
2	pocos
3	aficionados
4	que
5	se
6	dieron
7	cita
8	en
9	el
10	Camp
11	d'Esports
12	se
13	llevaron
14	un
15	susto
16	de
17	muerte
18	y
19	,
20	al
21	final
22	,
23	el
24	empate
25	supo
26	mejor
27	de
28	lo
29	que
30	cabía
31	esperar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	pocos	DET	1	det
3	aficionados	NOUN	13	nsubj
4	que	PRON	6	nsubj
5	se	PRON	6	iobj
6	dieron	VERB	3	acl
7	cita	NOUN	6	obj
8	en	ADP	10	case
9	el	DET	10	det
10	Camp	PROPN	6	obl
11	d'Esports	PROPN	10	flat
12	se	PRON	13	iobj
13	llevaron	VERB	0	root
14	un	DET	15	det
15	susto	NOUN	13	obj
16	de	ADP	17	case
17	muerte	NOUN	15	nmod
18	y	CCONJ	25	cc
19	,	PUNCT	20	punct
20	al	ADP	25	advmod
21	final	NOUN	20	fixed
22	,	PUNCT	20	punct
23	el	DET	24	det
24	empate	NOUN	25	nsubj
25	supo	VERB	13	conj
26	mejor	ADJ	25	xcomp
27	de	ADP	30	mark
28	lo	PRON	31	det
29	que	PRON	30	obj
30	cabía	VERB	26	acl
31	esperar	VERB	30	xcomp
32	.	PUNCT	13	punct