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:
Correos ha previsto una subida media de sus tarifas del 4,7% para el 2000, que le reportará unos ingresos de unos 10.000 millones de pesetas.
Postion	Tokenization
1	Correos
2	ha
3	previsto
4	una
5	subida
6	media
7	de
8	sus
9	tarifas
10	del
11	4,7%
12	para
13	el
14	2000
15	,
16	que
17	le
18	reportará
19	unos
20	ingresos
21	de
22	unos
23	10.000
24	millones
25	de
26	pesetas
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Correos	PROPN	3	nsubj
2	ha	AUX	3	aux
3	previsto	VERB	0	root
4	una	DET	5	det
5	subida	NOUN	3	obj
6	media	ADJ	5	amod
7	de	ADP	9	case
8	sus	DET	9	det
9	tarifas	NOUN	5	nmod
10	del	ADP	11	case
11	4,7%	SYM	5	nmod
12	para	ADP	14	case
13	el	DET	14	det
14	2000	NOUN	3	obl
15	,	PUNCT	18	punct
16	que	PRON	18	nsubj
17	le	PRON	18	obj
18	reportará	VERB	3	advcl
19	unos	DET	20	det
20	ingresos	NOUN	18	obj
21	de	ADP	24	case
22	unos	PRON	23	nmod
23	10.000	NUM	24	nummod
24	millones	NOUN	20	nmod
25	de	ADP	26	case
26	pesetas	NOUN	24	nmod
27	.	PUNCT	3	punct