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:
Miloc dijo que por el momento no sabe si convocará a nuevos jugadores para los próximos partidos, ya que a su criterio, los que están han actuado bien en anteriores juegos.
Postion	Tokenization
1	Miloc
2	dijo
3	que
4	por
5	el
6	momento
7	no
8	sabe
9	si
10	convocará
11	a
12	nuevos
13	jugadores
14	para
15	los
16	próximos
17	partidos
18	,
19	ya
20	que
21	a
22	su
23	criterio
24	,
25	los
26	que
27	están
28	han
29	actuado
30	bien
31	en
32	anteriores
33	juegos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Miloc	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	8	mark
4	por	ADP	6	case
5	el	DET	6	det
6	momento	NOUN	8	obl
7	no	ADV	8	advmod
8	sabe	VERB	2	ccomp
9	si	SCONJ	10	mark
10	convocará	VERB	8	ccomp
11	a	ADP	13	case
12	nuevos	ADJ	13	amod
13	jugadores	NOUN	10	obj
14	para	ADP	17	case
15	los	DET	17	det
16	próximos	ADJ	17	amod
17	partidos	NOUN	10	obl
18	,	PUNCT	10	punct
19	ya	ADV	29	mark
20	que	SCONJ	19	fixed
21	a	ADP	23	case
22	su	DET	23	det
23	criterio	NOUN	29	obl
24	,	PUNCT	23	punct
25	los	DET	27	det
26	que	PRON	27	nsubj
27	están	VERB	29	csubj
28	han	AUX	29	aux
29	actuado	VERB	8	advcl
30	bien	ADV	29	advmod
31	en	ADP	33	case
32	anteriores	ADJ	33	amod
33	juegos	NOUN	29	obl
34	.	PUNCT	2	punct