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:
Duran Lleida dijo que tomaría una decisión después de consultar a firmantes de la misiva si habían dado su autorización para que el contenido de la misma se hiciera público.
Postion	Tokenization
1	Duran
2	Lleida
3	dijo
4	que
5	tomaría
6	una
7	decisión
8	después
9	de
10	consultar
11	a
12	firmantes
13	de
14	la
15	misiva
16	si
17	habían
18	dado
19	su
20	autorización
21	para
22	que
23	el
24	contenido
25	de
26	la
27	misma
28	se
29	hiciera
30	público
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Duran	PROPN	3	nsubj
2	Lleida	PROPN	1	flat
3	dijo	VERB	0	root
4	que	SCONJ	5	mark
5	tomaría	VERB	3	ccomp
6	una	DET	7	det
7	decisión	NOUN	5	obj
8	después	ADV	5	advmod
9	de	ADP	10	mark
10	consultar	VERB	8	advcl
11	a	ADP	12	case
12	firmantes	NOUN	10	obj
13	de	ADP	15	case
14	la	DET	15	det
15	misiva	NOUN	12	nmod
16	si	SCONJ	10	mark
17	habían	AUX	10	aux
18	dado	VERB	10	xcomp
19	su	DET	20	det
20	autorización	NOUN	18	obj
21	para	ADP	29	mark
22	que	SCONJ	29	mark
23	el	DET	24	det
24	contenido	NOUN	29	nsubj:pass
25	de	ADP	27	case
26	la	DET	27	det
27	misma	PRON	24	nmod
28	se	PRON	29	expl:pass
29	hiciera	VERB	20	acl
30	público	ADJ	29	obj
31	.	PUNCT	3	punct