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:
Según explica el texto del proyecto presupuestario del Gobierno, en el conjunto de inversiones estas inversiones, que suman en torno a un billón y medio de pesetas, hay además unos 425.000 millones no regionalizables.
Postion	Tokenization
1	Según
2	explica
3	el
4	texto
5	del
6	proyecto
7	presupuestario
8	del
9	Gobierno
10	,
11	en
12	el
13	conjunto
14	de
15	inversiones
16	estas
17	inversiones
18	,
19	que
20	suman
21	en
22	torno
23	a
24	un
25	billón
26	y
27	medio
28	de
29	pesetas
30	,
31	hay
32	además
33	unos
34	425.000
35	millones
36	no
37	regionalizables
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	explica	VERB	31	advcl
3	el	DET	4	det
4	texto	NOUN	2	nsubj
5	del	ADP	6	case
6	proyecto	NOUN	4	nmod
7	presupuestario	ADJ	6	amod
8	del	ADP	9	case
9	Gobierno	PROPN	6	nmod
10	,	PUNCT	2	punct
11	en	ADP	13	case
12	el	DET	13	det
13	conjunto	NOUN	31	obl
14	de	ADP	15	case
15	inversiones	NOUN	13	nmod
16	estas	DET	17	det
17	inversiones	NOUN	15	appos
18	,	PUNCT	20	punct
19	que	PRON	20	nsubj
20	suman	VERB	17	acl
21	en	ADP	22	case
22	torno	NOUN	25	det
23	a	ADP	22	fixed
24	un	DET	22	fixed
25	billón	NOUN	20	obj
26	y	CCONJ	27	cc
27	medio	NUM	25	conj
28	de	ADP	29	case
29	pesetas	NOUN	25	nmod
30	,	PUNCT	20	punct
31	hay	AUX	0	root
32	además	ADV	31	advmod
33	unos	PRON	34	nmod
34	425.000	NUM	35	nummod
35	millones	NOUN	31	obj
36	no	ADV	37	advmod
37	regionalizables	ADJ	35	amod
38	.	PUNCT	31	punct