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:
"Más que un hecho de convicción, sus frases sobre el Hizbulá han aparecido como una maniobra política en el horizonte mediocre de la cohabitación preelectoral", sentencia el periódico.
Postion	Tokenization
1	"
2	Más
3	que
4	un
5	hecho
6	de
7	convicción
8	,
9	sus
10	frases
11	sobre
12	el
13	Hizbulá
14	han
15	aparecido
16	como
17	una
18	maniobra
19	política
20	en
21	el
22	horizonte
23	mediocre
24	de
25	la
26	cohabitación
27	preelectoral
28	"
29	,
30	sentencia
31	el
32	periódico
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	15	punct
2	Más	ADV	5	cc
3	que	SCONJ	2	fixed
4	un	DET	5	det
5	hecho	NOUN	15	obj
6	de	ADP	7	case
7	convicción	NOUN	5	nmod
8	,	PUNCT	5	punct
9	sus	DET	10	det
10	frases	NOUN	15	nsubj
11	sobre	ADP	13	case
12	el	DET	13	det
13	Hizbulá	PROPN	10	nmod
14	han	AUX	15	aux
15	aparecido	VERB	30	ccomp
16	como	SCONJ	18	mark
17	una	DET	18	det
18	maniobra	NOUN	15	obl
19	política	ADJ	18	amod
20	en	ADP	22	case
21	el	DET	22	det
22	horizonte	NOUN	15	obl
23	mediocre	ADJ	22	amod
24	de	ADP	26	case
25	la	DET	26	det
26	cohabitación	NOUN	22	nmod
27	preelectoral	ADJ	26	amod
28	"	PUNCT	15	punct
29	,	PUNCT	15	punct
30	sentencia	VERB	0	root
31	el	DET	32	det
32	periódico	NOUN	30	nsubj
33	.	PUNCT	30	punct