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:
Acostumbrados a una transparencia casi total en todo tipo de asuntos, el consumidor medio está convencido de que las ilegalidades serán controladas y castigadas por las instituciones suecas, pero también tiene la seguridad de que, termine como termine el asunto, no recibirá ningún dinero de vuelta.
Postion	Tokenization
1	Acostumbrados
2	a
3	una
4	transparencia
5	casi
6	total
7	en
8	todo
9	tipo
10	de
11	asuntos
12	,
13	el
14	consumidor
15	medio
16	está
17	convencido
18	de
19	que
20	las
21	ilegalidades
22	serán
23	controladas
24	y
25	castigadas
26	por
27	las
28	instituciones
29	suecas
30	,
31	pero
32	también
33	tiene
34	la
35	seguridad
36	de
37	que
38	,
39	termine
40	como
41	termine
42	el
43	asunto
44	,
45	no
46	recibirá
47	ningún
48	dinero
49	de
50	vuelta
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Acostumbrados	ADJ	17	obj
2	a	ADP	4	case
3	una	DET	4	det
4	transparencia	NOUN	1	obj
5	casi	ADV	6	advmod
6	total	ADJ	4	amod
7	en	ADP	9	case
8	todo	DET	9	det
9	tipo	NOUN	4	nmod
10	de	ADP	11	case
11	asuntos	NOUN	9	nmod
12	,	PUNCT	1	punct
13	el	DET	14	det
14	consumidor	NOUN	17	nsubj
15	medio	ADJ	14	amod
16	está	AUX	17	cop
17	convencido	ADJ	0	root
18	de	ADP	23	mark
19	que	SCONJ	23	mark
20	las	DET	21	det
21	ilegalidades	NOUN	23	nsubj
22	serán	AUX	23	aux
23	controladas	VERB	17	acl
24	y	CCONJ	25	cc
25	castigadas	VERB	23	conj
26	por	ADP	28	case
27	las	DET	28	det
28	instituciones	NOUN	23	obj
29	suecas	ADJ	28	amod
30	,	PUNCT	33	punct
31	pero	CCONJ	33	cc
32	también	ADV	33	advmod
33	tiene	VERB	17	conj
34	la	DET	35	det
35	seguridad	NOUN	33	obj
36	de	ADP	46	mark
37	que	SCONJ	46	mark
38	,	PUNCT	39	punct
39	termine	VERB	46	advcl
40	como	SCONJ	41	mark
41	termine	VERB	39	ccomp
42	el	DET	43	det
43	asunto	NOUN	39	nsubj
44	,	PUNCT	39	punct
45	no	ADV	46	advmod
46	recibirá	VERB	35	acl
47	ningún	DET	48	det
48	dinero	NOUN	46	obj
49	de	ADP	50	case
50	vuelta	NOUN	48	nmod
51	.	PUNCT	17	punct