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:
La 2 retoma hoy (00.15 horas) el tema con la emisión de un documental de dos capítulos de Antonio Drove, director de filmes como La verdad sobre el caso Savolta (1979).
Postion	Tokenization
1	La
2	2
3	retoma
4	hoy
5	(
6	00.15
7	horas
8	)
9	el
10	tema
11	con
12	la
13	emisión
14	de
15	un
16	documental
17	de
18	dos
19	capítulos
20	de
21	Antonio
22	Drove
23	,
24	director
25	de
26	filmes
27	como
28	La
29	verdad
30	sobre
31	el
32	caso
33	Savolta
34	(
35	1979
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	2	NUM	3	nsubj
3	retoma	VERB	0	root
4	hoy	ADV	3	advmod
5	(	PUNCT	6	punct
6	00.15	NUM	4	obl
7	horas	NOUN	6	compound
8	)	PUNCT	6	punct
9	el	DET	10	det
10	tema	NOUN	3	obj
11	con	ADP	13	case
12	la	DET	13	det
13	emisión	NOUN	3	obl
14	de	ADP	16	case
15	un	DET	16	det
16	documental	NOUN	13	nmod
17	de	ADP	19	case
18	dos	NUM	19	nummod
19	capítulos	NOUN	16	nmod
20	de	ADP	21	case
21	Antonio	PROPN	16	nmod
22	Drove	PROPN	21	flat
23	,	PUNCT	24	punct
24	director	NOUN	21	appos
25	de	ADP	26	case
26	filmes	NOUN	24	nmod
27	como	SCONJ	29	mark
28	La	DET	29	det
29	verdad	PROPN	26	nmod
30	sobre	ADP	32	case
31	el	DET	32	det
32	caso	PROPN	28	flat
33	Savolta	PROPN	32	flat
34	(	PUNCT	35	punct
35	1979	NOUN	28	appos
36	)	PUNCT	35	punct
37	.	PUNCT	3	punct