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 Prule 67 Liubliana es el segundo equipo de Eslovenia y en la Recopa ha logrado eliminar al Brovary ucraniano, al Drammen noruego y al Jugopetrol Zeleznicar.
Postion	Tokenization
1	El
2	Prule
3	67
4	Liubliana
5	es
6	el
7	segundo
8	equipo
9	de
10	Eslovenia
11	y
12	en
13	la
14	Recopa
15	ha
16	logrado
17	eliminar
18	al
19	Brovary
20	ucraniano
21	,
22	al
23	Drammen
24	noruego
25	y
26	al
27	Jugopetrol
28	Zeleznicar
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Prule	PROPN	8	nsubj
3	67	NUM	2	nummod
4	Liubliana	PROPN	2	flat
5	es	AUX	8	cop
6	el	DET	8	det
7	segundo	ADJ	8	amod
8	equipo	NOUN	0	root
9	de	ADP	10	case
10	Eslovenia	PROPN	8	nmod
11	y	CCONJ	16	cc
12	en	ADP	14	case
13	la	DET	14	det
14	Recopa	PROPN	16	obl
15	ha	AUX	16	aux
16	logrado	VERB	8	conj
17	eliminar	VERB	16	xcomp
18	al	ADP	19	case
19	Brovary	PROPN	17	obj
20	ucraniano	ADJ	19	amod
21	,	PUNCT	23	punct
22	al	ADP	23	case
23	Drammen	PROPN	19	conj
24	noruego	ADJ	23	amod
25	y	CCONJ	27	cc
26	al	ADP	27	case
27	Jugopetrol	PROPN	19	conj
28	Zeleznicar	PROPN	27	flat
29	.	PUNCT	8	punct