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 Gobierno español tenía razón en exigir que, por simple ingeniería estadística derivada de la ampliación, varias regiones (Andalucía, Galicia, Extremadura) no se quedaran sin los dichosos fondos (casi un billón de pesetas anuales).
Postion	Tokenization
1	El
2	Gobierno
3	español
4	tenía
5	razón
6	en
7	exigir
8	que
9	,
10	por
11	simple
12	ingeniería
13	estadística
14	derivada
15	de
16	la
17	ampliación
18	,
19	varias
20	regiones
21	(
22	Andalucía
23	,
24	Galicia
25	,
26	Extremadura
27	)
28	no
29	se
30	quedaran
31	sin
32	los
33	dichosos
34	fondos
35	(
36	casi
37	un
38	billón
39	de
40	pesetas
41	anuales
42	)
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	4	nsubj
3	español	ADJ	2	amod
4	tenía	VERB	0	root
5	razón	NOUN	4	obj
6	en	ADP	7	mark
7	exigir	VERB	5	acl
8	que	SCONJ	30	mark
9	,	PUNCT	12	punct
10	por	ADP	12	case
11	simple	ADJ	12	amod
12	ingeniería	NOUN	30	obl
13	estadística	ADJ	12	amod
14	derivada	ADJ	12	amod
15	de	ADP	17	case
16	la	DET	17	det
17	ampliación	NOUN	14	obj
18	,	PUNCT	12	punct
19	varias	DET	20	det
20	regiones	NOUN	30	nsubj
21	(	PUNCT	22	punct
22	Andalucía	PROPN	20	appos
23	,	PUNCT	24	punct
24	Galicia	PROPN	22	conj
25	,	PUNCT	26	punct
26	Extremadura	PROPN	22	conj
27	)	PUNCT	22	punct
28	no	ADV	30	advmod
29	se	PRON	30	expl:pv
30	quedaran	VERB	7	ccomp
31	sin	ADP	34	case
32	los	DET	34	det
33	dichosos	ADJ	34	amod
34	fondos	NOUN	30	obl
35	(	PUNCT	38	punct
36	casi	ADV	37	advmod
37	un	DET	38	det
38	billón	NOUN	34	appos
39	de	ADP	40	case
40	pesetas	NOUN	38	nmod
41	anuales	ADJ	40	amod
42	)	PUNCT	38	punct
43	.	PUNCT	4	punct