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:
LA CASA, a nombre de Europe Capital SL, sociedad del ex jefe de la Guardia Civil, fue subastada ayer en la Audiencia de Madrid y vendida a un particular por 48,5 millones de pesetas (291.490 euros).
Postion	Tokenization
1	LA
2	CASA
3	,
4	a
5	nombre
6	de
7	Europe
8	Capital
9	SL
10	,
11	sociedad
12	del
13	ex
14	jefe
15	de
16	la
17	Guardia
18	Civil
19	,
20	fue
21	subastada
22	ayer
23	en
24	la
25	Audiencia
26	de
27	Madrid
28	y
29	vendida
30	a
31	un
32	particular
33	por
34	48,5
35	millones
36	de
37	pesetas
38	(
39	291.490
40	euros
41	)
42	.
Position	Tokenization	UPOS	Head	Deprel
1	LA	DET	2	det
2	CASA	NOUN	21	nsubj
3	,	PUNCT	7	punct
4	a	ADP	7	case
5	nombre	NOUN	4	fixed
6	de	ADP	4	fixed
7	Europe	PROPN	2	nmod
8	Capital	PROPN	7	flat
9	SL	PROPN	7	flat
10	,	PUNCT	11	punct
11	sociedad	NOUN	7	appos
12	del	ADP	14	case
13	ex	ADJ	14	amod
14	jefe	NOUN	11	nmod
15	de	ADP	17	case
16	la	DET	17	det
17	Guardia	PROPN	14	nmod
18	Civil	PROPN	17	flat
19	,	PUNCT	11	punct
20	fue	AUX	21	aux
21	subastada	VERB	0	root
22	ayer	ADV	21	advmod
23	en	ADP	25	case
24	la	DET	25	det
25	Audiencia	PROPN	21	obl
26	de	ADP	27	case
27	Madrid	PROPN	25	flat
28	y	CCONJ	29	cc
29	vendida	VERB	21	conj
30	a	ADP	32	case
31	un	DET	32	det
32	particular	NOUN	29	obj
33	por	ADP	35	case
34	48,5	NUM	35	nummod
35	millones	NOUN	29	obl
36	de	ADP	37	case
37	pesetas	NOUN	35	nmod
38	(	PUNCT	40	punct
39	291.490	NUM	40	nummod
40	euros	NOUN	35	appos
41	)	PUNCT	40	punct
42	.	PUNCT	21	punct