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:
Ahora que se han liquidado las doce licencias de la primera fase, se debe pasar a la segunda, donde se subastan otras cinco bandas de frecuencia, más pequeñas que las anteriores, pero que sirven para reforzarlas.
Postion	Tokenization
1	Ahora
2	que
3	se
4	han
5	liquidado
6	las
7	doce
8	licencias
9	de
10	la
11	primera
12	fase
13	,
14	se
15	debe
16	pasar
17	a
18	la
19	segunda
20	,
21	donde
22	se
23	subastan
24	otras
25	cinco
26	bandas
27	de
28	frecuencia
29	,
30	más
31	pequeñas
32	que
33	las
34	anteriores
35	,
36	pero
37	que
38	sirven
39	para
40	reforzarlas
41	reforzar
42	las
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Ahora	ADV	16	advmod
2	que	PRON	1	obl
3	se	PRON	2	expl:pass
4	han	AUX	2	aux
5	liquidado	VERB	2	case
6	las	DET	8	det
7	doce	NUM	6	nummod
8	licencias	NOUN	2	nsubj:pass
9	de	ADP	12	case
10	la	DET	12	det
11	primera	ADJ	12	amod
12	fase	NOUN	8	nmod
13	,	PUNCT	1	punct
14	se	PRON	16	expl:impers
15	debe	AUX	16	aux
16	pasar	VERB	0	root
17	a	ADP	23	mark
18	la	DET	23	det
19	segunda	ADJ	23	amod
20	,	PUNCT	23	punct
21	donde	PRON	23	obl
22	se	PRON	23	expl:pass
23	subastan	VERB	16	advcl
24	otras	DET	26	det
25	cinco	NUM	24	nummod
26	bandas	NOUN	23	nsubj
27	de	ADP	28	case
28	frecuencia	NOUN	26	nmod
29	,	PUNCT	31	punct
30	más	ADV	31	advmod
31	pequeñas	ADJ	26	amod
32	que	SCONJ	34	mark
33	las	DET	34	det
34	anteriores	ADJ	31	advmod
35	,	PUNCT	38	punct
36	pero	CCONJ	38	cc
37	que	PRON	38	nsubj
38	sirven	VERB	31	conj
39	para	ADP	40	mark
40	reforzarlas	_	None	_
41	reforzar	VERB	38	xcomp
42	las	PRON	40	obj
43	.	PUNCT	16	punct