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:
- Por eso me pareció bien la fórmula de 'ciudadano' para referirme al Rey, que como persona me merece todos los respetos -, declaró Pilar a tiempo.
Postion	Tokenization
1	-
2	Por
3	eso
4	me
5	pareció
6	bien
7	la
8	fórmula
9	de
10	'
11	ciudadano
12	'
13	para
14	referirme
15	referir
16	me
17	al
18	Rey
19	,
20	que
21	como
22	persona
23	me
24	merece
25	todos
26	los
27	respetos
28	-
29	,
30	declaró
31	Pilar
32	a
33	tiempo
34	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	5	punct
2	Por	ADP	3	case
3	eso	PRON	5	obl
4	me	PRON	5	iobj
5	pareció	VERB	29	ccomp
6	bien	ADV	5	xcomp
7	la	DET	8	det
8	fórmula	NOUN	5	nsubj
9	de	ADP	11	case
10	'	SYM	11	nmod
11	ciudadano	NOUN	8	nmod
12	'	SYM	11	nmod
13	para	ADP	14	mark
14	referirme	_	None	_
15	referir	VERB	6	advcl
16	me	PRON	14	expl:pv
17	al	ADP	17	case
18	Rey	PROPN	14	obj
19	,	PUNCT	23	punct
20	que	PRON	23	nsubj
21	como	SCONJ	21	mark
22	persona	NOUN	19	nmod
23	me	PRON	23	iobj
24	merece	VERB	17	acl
25	todos	DET	25	det
26	los	DET	26	det
27	respetos	NOUN	23	obj
28	-	PUNCT	5	punct
29	,	PUNCT	5	punct
30	declaró	VERB	0	root
31	Pilar	PROPN	29	nsubj
32	a	ADP	29	advmod
33	tiempo	NOUN	31	fixed
34	.	PUNCT	29	punct