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:
Otras dudas radicarán en los puestos de vanguardia, para los que hay cuatro hombres (Meho Kodro, Nan Ribera, Javi Moreno y Magno Mocelin) como candidatos para ocupar dos posiciones.
Postion	Tokenization
1	Otras
2	dudas
3	radicarán
4	en
5	los
6	puestos
7	de
8	vanguardia
9	,
10	para
11	los
12	que
13	hay
14	cuatro
15	hombres
16	(
17	Meho
18	Kodro
19	,
20	Nan
21	Ribera
22	,
23	Javi
24	Moreno
25	y
26	Magno
27	Mocelin
28	)
29	como
30	candidatos
31	para
32	ocupar
33	dos
34	posiciones
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Otras	DET	2	det
2	dudas	NOUN	3	nsubj
3	radicarán	VERB	0	root
4	en	ADP	6	case
5	los	DET	6	det
6	puestos	NOUN	3	obj
7	de	ADP	8	case
8	vanguardia	NOUN	6	nmod
9	,	PUNCT	13	punct
10	para	ADP	12	case
11	los	DET	12	det
12	que	PRON	13	obl
13	hay	AUX	6	acl
14	cuatro	NUM	15	nummod
15	hombres	NOUN	13	obj
16	(	PUNCT	17	punct
17	Meho	PROPN	15	appos
18	Kodro	PROPN	17	flat
19	,	PUNCT	20	punct
20	Nan	PROPN	17	conj
21	Ribera	PROPN	20	flat
22	,	PUNCT	23	punct
23	Javi	PROPN	17	conj
24	Moreno	PROPN	23	flat
25	y	CCONJ	26	cc
26	Magno	PROPN	17	conj
27	Mocelin	PROPN	26	flat
28	)	PUNCT	17	punct
29	como	SCONJ	30	mark
30	candidatos	NOUN	15	nmod
31	para	ADP	32	mark
32	ocupar	VERB	15	acl
33	dos	NUM	34	nummod
34	posiciones	NOUN	32	obj
35	.	PUNCT	3	punct