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:
El concierto será a las 18.30 horas para hacerlo compatible con el Madrid-Barça, ya que Lluch, además de amar profundamente la música, era un gran culé.
Postion	Tokenization
1	El
2	concierto
3	será
4	a
5	las
6	18.30
7	horas
8	para
9	hacerlo
10	hacer
11	lo
12	compatible
13	con
14	el
15	Madrid-Barça
16	,
17	ya
18	que
19	Lluch
20	,
21	además
22	de
23	amar
24	profundamente
25	la
26	música
27	,
28	era
29	un
30	gran
31	culé
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	concierto	NOUN	6	nsubj
3	será	AUX	6	cop
4	a	ADP	6	case
5	las	DET	6	det
6	18.30	NUM	0	root
7	horas	NOUN	6	compound
8	para	ADP	9	mark
9	hacerlo	_	None	_
10	hacer	VERB	6	advcl
11	lo	PRON	9	obj
12	compatible	ADJ	9	obj
13	con	ADP	14	case
14	el	DET	14	det
15	Madrid-Barça	PROPN	11	nmod
16	,	PUNCT	30	punct
17	ya	ADV	30	mark
18	que	SCONJ	16	fixed
19	Lluch	PROPN	30	nsubj
20	,	PUNCT	20	punct
21	además	ADV	30	advmod
22	de	ADP	20	fixed
23	amar	VERB	20	advcl
24	profundamente	ADV	22	advmod
25	la	DET	25	det
26	música	NOUN	22	obj
27	,	PUNCT	20	punct
28	era	AUX	30	cop
29	un	DET	30	det
30	gran	ADJ	30	amod
31	culé	NOUN	6	advcl
32	.	PUNCT	6	punct