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 DVD con el concierto completo se pondrá a la venta el próximo octubre, pero la RAI seguirá retransmitiendo canciones en los próximos días.
Postion	Tokenization
1	El
2	DVD
3	con
4	el
5	concierto
6	completo
7	se
8	pondrá
9	a
10	la
11	venta
12	el
13	próximo
14	octubre
15	,
16	pero
17	la
18	RAI
19	seguirá
20	retransmitiendo
21	canciones
22	en
23	los
24	próximos
25	días
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	DVD	NOUN	8	nsubj
3	con	ADP	5	case
4	el	DET	5	det
5	concierto	NOUN	2	nmod
6	completo	ADJ	5	amod
7	se	PRON	8	expl:pass
8	pondrá	VERB	0	root
9	a	ADP	11	case
10	la	DET	11	det
11	venta	NOUN	8	obl
12	el	DET	14	det
13	próximo	ADJ	14	amod
14	octubre	NOUN	8	obl
15	,	PUNCT	19	punct
16	pero	CCONJ	19	cc
17	la	DET	18	det
18	RAI	PROPN	19	nsubj
19	seguirá	VERB	8	conj
20	retransmitiendo	VERB	19	xcomp
21	canciones	NOUN	20	obj
22	en	ADP	25	case
23	los	DET	25	det
24	próximos	ADJ	25	amod
25	días	NOUN	19	obl
26	.	PUNCT	8	punct