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:
Steffi, de 31 años, y su novio, el tenista estadounidense Andre Agassi, acaban de comprarse una mansión cerca de San Francisco valorada en 4.000 millones de pesetas.
Postion	Tokenization
1	Steffi
2	,
3	de
4	31
5	años
6	,
7	y
8	su
9	novio
10	,
11	el
12	tenista
13	estadounidense
14	Andre
15	Agassi
16	,
17	acaban
18	de
19	comprarse
20	comprar
21	se
22	una
23	mansión
24	cerca
25	de
26	San
27	Francisco
28	valorada
29	en
30	4.000
31	millones
32	de
33	pesetas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Steffi	PROPN	17	nsubj
2	,	PUNCT	5	punct
3	de	ADP	5	case
4	31	NUM	5	nummod
5	años	NOUN	1	nmod
6	,	PUNCT	5	punct
7	y	CCONJ	9	cc
8	su	DET	9	det
9	novio	NOUN	1	conj
10	,	PUNCT	12	punct
11	el	DET	12	det
12	tenista	NOUN	9	appos
13	estadounidense	ADJ	12	amod
14	Andre	PROPN	12	appos
15	Agassi	PROPN	14	flat
16	,	PUNCT	12	punct
17	acaban	VERB	0	root
18	de	ADP	19	mark
19	comprarse	_	None	_
20	comprar	VERB	17	xcomp
21	se	PRON	19	iobj
22	una	DET	22	det
23	mansión	NOUN	19	obj
24	cerca	ADV	22	advmod
25	de	ADP	25	case
26	San	PROPN	23	obl
27	Francisco	PROPN	25	flat
28	valorada	ADJ	22	amod
29	en	ADP	30	case
30	4.000	NUM	30	nummod
31	millones	NOUN	27	obj
32	de	ADP	32	case
33	pesetas	NOUN	30	nmod
34	.	PUNCT	17	punct