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:
Además, dijo tener "confianza total" en los componentes del consejo de administración y en las decisiones que éstos puedan tomar.
Postion	Tokenization
1	Además
2	,
3	dijo
4	tener
5	"
6	confianza
7	total
8	"
9	en
10	los
11	componentes
12	del
13	consejo
14	de
15	administración
16	y
17	en
18	las
19	decisiones
20	que
21	éstos
22	puedan
23	tomar
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	3	advmod
2	,	PUNCT	1	punct
3	dijo	VERB	0	root
4	tener	VERB	3	xcomp
5	"	PUNCT	6	punct
6	confianza	NOUN	4	obj
7	total	ADJ	6	amod
8	"	PUNCT	6	punct
9	en	ADP	11	case
10	los	DET	11	det
11	componentes	NOUN	6	nmod
12	del	ADP	13	case
13	consejo	NOUN	11	nmod
14	de	ADP	15	case
15	administración	NOUN	13	nmod
16	y	CCONJ	19	cc
17	en	ADP	19	case
18	las	DET	19	det
19	decisiones	NOUN	11	conj
20	que	PRON	23	obj
21	éstos	PRON	23	nsubj
22	puedan	AUX	23	aux
23	tomar	VERB	19	acl
24	.	PUNCT	3	punct