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:
Si había un partido que llamaba la atención en el programa de hoy éste era el que enfrentaba al estadounidense Andre Agassi y al australiano Mark Philippoussis.
Postion	Tokenization
1	Si
2	había
3	un
4	partido
5	que
6	llamaba
7	la
8	atención
9	en
10	el
11	programa
12	de
13	hoy
14	éste
15	era
16	el
17	que
18	enfrentaba
19	al
20	estadounidense
21	Andre
22	Agassi
23	y
24	al
25	australiano
26	Mark
27	Philippoussis
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	2	mark
2	había	AUX	15	advcl
3	un	DET	4	det
4	partido	NOUN	2	obj
5	que	PRON	6	nsubj
6	llamaba	VERB	4	acl
7	la	DET	8	det
8	atención	NOUN	6	obj
9	en	ADP	11	case
10	el	DET	11	det
11	programa	NOUN	6	obl
12	de	ADP	13	case
13	hoy	ADV	11	advmod
14	éste	PRON	15	nsubj
15	era	AUX	0	root
16	el	DET	18	det
17	que	PRON	18	nsubj
18	enfrentaba	VERB	15	ccomp
19	al	ADP	20	case
20	estadounidense	NOUN	18	obj
21	Andre	PROPN	20	appos
22	Agassi	PROPN	21	flat
23	y	CCONJ	25	cc
24	al	ADP	25	case
25	australiano	NOUN	20	conj
26	Mark	PROPN	25	appos
27	Philippoussis	PROPN	26	flat
28	.	PUNCT	15	punct