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:
Roberto aseguró que no ha hablado con Rivaldo del choque entre eternos rivales que Real Madrid y Barcelona disputarán el Sábado en el estadio Santiago Bernabéu.
Postion	Tokenization
1	Roberto
2	aseguró
3	que
4	no
5	ha
6	hablado
7	con
8	Rivaldo
9	del
10	choque
11	entre
12	eternos
13	rivales
14	que
15	Real
16	Madrid
17	y
18	Barcelona
19	disputarán
20	el
21	Sábado
22	en
23	el
24	estadio
25	Santiago
26	Bernabéu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Roberto	PROPN	2	nsubj
2	aseguró	VERB	0	root
3	que	SCONJ	6	mark
4	no	ADV	6	advmod
5	ha	AUX	6	aux
6	hablado	VERB	2	ccomp
7	con	ADP	8	case
8	Rivaldo	PROPN	6	obl
9	del	ADP	10	case
10	choque	NOUN	6	obj
11	entre	ADP	13	case
12	eternos	ADJ	13	amod
13	rivales	NOUN	10	nmod
14	que	PRON	19	obj
15	Real	PROPN	19	nsubj
16	Madrid	PROPN	15	flat
17	y	CCONJ	18	cc
18	Barcelona	PROPN	15	conj
19	disputarán	VERB	10	acl
20	el	DET	21	det
21	Sábado	NOUN	19	obl
22	en	ADP	24	case
23	el	DET	24	det
24	estadio	NOUN	19	obl
25	Santiago	PROPN	24	appos
26	Bernabéu	PROPN	25	flat
27	.	PUNCT	2	punct