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 8 de mayo se repartirán las entradas a cada uno de los dos finalistas, el RCD Espanyol seguro, y el otro se conocerá esta tarde de forma oficial.
Postion	Tokenization
1	El
2	8
3	de
4	mayo
5	se
6	repartirán
7	las
8	entradas
9	a
10	cada
11	uno
12	de
13	los
14	dos
15	finalistas
16	,
17	el
18	RCD
19	Espanyol
20	seguro
21	,
22	y
23	el
24	otro
25	se
26	conocerá
27	esta
28	tarde
29	de
30	forma
31	oficial
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	8	NUM	6	obl
3	de	ADP	4	case
4	mayo	NOUN	2	compound
5	se	PRON	6	expl:pass
6	repartirán	VERB	0	root
7	las	DET	8	det
8	entradas	NOUN	6	nsubj
9	a	ADP	11	case
10	cada	DET	11	det
11	uno	PRON	6	obj
12	de	ADP	15	case
13	los	DET	15	det
14	dos	NUM	13	nummod
15	finalistas	NOUN	11	nmod
16	,	PUNCT	6	punct
17	el	DET	18	det
18	RCD	PROPN	6	obl
19	Espanyol	PROPN	18	flat
20	seguro	ADV	18	advmod
21	,	PUNCT	26	punct
22	y	CCONJ	26	cc
23	el	DET	24	det
24	otro	PRON	26	nsubj
25	se	PRON	26	expl:pass
26	conocerá	VERB	18	conj
27	esta	DET	28	det
28	tarde	NOUN	26	obl
29	de	ADP	30	case
30	forma	NOUN	26	obl
31	oficial	ADJ	30	amod
32	.	PUNCT	6	punct