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:
Los sondeos destacan el rápido ascenso de popularidad de Mesic y la caída sufrida por Granic, cuya candidatura fue presentada por la Unión Democrática Croata (HDZ) de Tudjman.
Postion	Tokenization
1	Los
2	sondeos
3	destacan
4	el
5	rápido
6	ascenso
7	de
8	popularidad
9	de
10	Mesic
11	y
12	la
13	caída
14	sufrida
15	por
16	Granic
17	,
18	cuya
19	candidatura
20	fue
21	presentada
22	por
23	la
24	Unión
25	Democrática
26	Croata
27	(
28	HDZ
29	)
30	de
31	Tudjman
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	sondeos	NOUN	3	nsubj
3	destacan	VERB	0	root
4	el	DET	6	det
5	rápido	ADJ	6	amod
6	ascenso	NOUN	3	obj
7	de	ADP	8	case
8	popularidad	NOUN	6	nmod
9	de	ADP	10	case
10	Mesic	PROPN	8	nmod
11	y	CCONJ	13	cc
12	la	DET	13	det
13	caída	NOUN	6	conj
14	sufrida	ADJ	13	amod
15	por	ADP	16	case
16	Granic	PROPN	14	obj
17	,	PUNCT	21	punct
18	cuya	PRON	19	nmod
19	candidatura	NOUN	21	nsubj
20	fue	AUX	21	aux
21	presentada	VERB	16	acl
22	por	ADP	24	case
23	la	DET	24	det
24	Unión	PROPN	21	obj
25	Democrática	PROPN	24	flat
26	Croata	PROPN	24	flat
27	(	PUNCT	28	punct
28	HDZ	PROPN	24	flat
29	)	PUNCT	28	punct
30	de	ADP	31	case
31	Tudjman	PROPN	24	nmod
32	.	PUNCT	3	punct