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:
Chupa Chups se adjudicó ayer, a través de un subastero de Barcelona, la propiedad de prácticamente todos los terrenos del parque por 791 millones de pesetas, frente a los 1.600 millones de salida, en la subasta celebrada en un juzgado de Barcelona a instancias de la Seguridad Social.
Postion	Tokenization
1	Chupa
2	Chups
3	se
4	adjudicó
5	ayer
6	,
7	a
8	través
9	de
10	un
11	subastero
12	de
13	Barcelona
14	,
15	la
16	propiedad
17	de
18	prácticamente
19	todos
20	los
21	terrenos
22	del
23	parque
24	por
25	791
26	millones
27	de
28	pesetas
29	,
30	frente
31	a
32	los
33	1.600
34	millones
35	de
36	salida
37	,
38	en
39	la
40	subasta
41	celebrada
42	en
43	un
44	juzgado
45	de
46	Barcelona
47	a
48	instancias
49	de
50	la
51	Seguridad
52	Social
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Chupa	PROPN	4	nsubj
2	Chups	PROPN	1	flat
3	se	PRON	4	expl:pv
4	adjudicó	VERB	0	root
5	ayer	ADV	4	advmod
6	,	PUNCT	11	punct
7	a	ADP	11	case
8	través	NOUN	7	fixed
9	de	ADP	7	fixed
10	un	DET	11	det
11	subastero	NOUN	4	obl
12	de	ADP	13	case
13	Barcelona	PROPN	11	nmod
14	,	PUNCT	11	punct
15	la	DET	16	det
16	propiedad	NOUN	4	obj
17	de	ADP	21	case
18	prácticamente	ADV	21	advmod
19	todos	DET	20	det
20	los	DET	21	det
21	terrenos	NOUN	16	nmod
22	del	ADP	23	case
23	parque	NOUN	21	nmod
24	por	ADP	26	case
25	791	NUM	26	nummod
26	millones	NOUN	4	obl
27	de	ADP	28	case
28	pesetas	NOUN	26	nmod
29	,	PUNCT	34	punct
30	frente	NOUN	34	case
31	a	ADP	30	fixed
32	los	DET	33	det
33	1.600	NUM	34	nummod
34	millones	NOUN	26	nmod
35	de	ADP	36	case
36	salida	NOUN	34	nmod
37	,	PUNCT	34	punct
38	en	ADP	40	case
39	la	DET	40	det
40	subasta	NOUN	4	obl
41	celebrada	ADJ	40	amod
42	en	ADP	44	case
43	un	DET	44	det
44	juzgado	NOUN	41	obl
45	de	ADP	46	case
46	Barcelona	PROPN	44	nmod
47	a	ADP	51	case
48	instancias	NOUN	47	fixed
49	de	ADP	47	fixed
50	la	DET	51	det
51	Seguridad	PROPN	41	obl
52	Social	PROPN	51	flat
53	.	PUNCT	4	punct