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:
Fernández indicó que durante el próximo mes y medio piensa descansar, aunque aseguró que, a partir de esa fecha, comenzará a preparar el campeonato del Mundo, que se disputará el próximo año en la localidad alemana de Munich.
Postion	Tokenization
1	Fernández
2	indicó
3	que
4	durante
5	el
6	próximo
7	mes
8	y
9	medio
10	piensa
11	descansar
12	,
13	aunque
14	aseguró
15	que
16	,
17	a
18	partir
19	de
20	esa
21	fecha
22	,
23	comenzará
24	a
25	preparar
26	el
27	campeonato
28	del
29	Mundo
30	,
31	que
32	se
33	disputará
34	el
35	próximo
36	año
37	en
38	la
39	localidad
40	alemana
41	de
42	Munich
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Fernández	PROPN	2	nsubj
2	indicó	VERB	0	root
3	que	SCONJ	10	mark
4	durante	ADP	7	case
5	el	DET	7	det
6	próximo	ADJ	7	amod
7	mes	NOUN	10	obl
8	y	CCONJ	9	cc
9	medio	ADJ	7	conj
10	piensa	VERB	2	ccomp
11	descansar	VERB	10	xcomp
12	,	PUNCT	14	punct
13	aunque	SCONJ	14	mark
14	aseguró	VERB	2	advcl
15	que	SCONJ	23	mark
16	,	PUNCT	21	punct
17	a	ADP	21	case
18	partir	NOUN	17	fixed
19	de	ADP	17	fixed
20	esa	DET	21	det
21	fecha	NOUN	23	obl
22	,	PUNCT	21	punct
23	comenzará	VERB	14	ccomp
24	a	ADP	25	mark
25	preparar	VERB	23	xcomp
26	el	DET	27	det
27	campeonato	NOUN	25	obj
28	del	ADP	29	case
29	Mundo	PROPN	27	nmod
30	,	PUNCT	33	punct
31	que	PRON	33	nsubj
32	se	PRON	33	expl:pass
33	disputará	VERB	27	acl
34	el	DET	36	det
35	próximo	ADJ	36	amod
36	año	NOUN	33	obl
37	en	ADP	39	case
38	la	DET	39	det
39	localidad	NOUN	33	obl
40	alemana	ADJ	39	amod
41	de	ADP	42	case
42	Munich	PROPN	39	nmod
43	.	PUNCT	2	punct