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:
AFAPIVE había valorado en más de 2.000 millones de pesetas las inversiones acometidas para la maquinaria encargada de producir la placa comunitaria y el utillaje y en 600 millones el "stock" de un millón de placas producidas imposibles de reutilizar si se mantenía la matrícula actual.
Postion	Tokenization
1	AFAPIVE
2	había
3	valorado
4	en
5	más
6	de
7	2.000
8	millones
9	de
10	pesetas
11	las
12	inversiones
13	acometidas
14	para
15	la
16	maquinaria
17	encargada
18	de
19	producir
20	la
21	placa
22	comunitaria
23	y
24	el
25	utillaje
26	y
27	en
28	600
29	millones
30	el
31	"
32	stock
33	"
34	de
35	un
36	millón
37	de
38	placas
39	producidas
40	imposibles
41	de
42	reutilizar
43	si
44	se
45	mantenía
46	la
47	matrícula
48	actual
49	.
Position	Tokenization	UPOS	Head	Deprel
1	AFAPIVE	PROPN	3	nsubj
2	había	AUX	3	aux
3	valorado	VERB	0	root
4	en	ADP	8	case
5	más	ADV	8	advmod
6	de	ADP	5	case
7	2.000	NUM	5	nummod
8	millones	NOUN	3	obj
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	las	DET	12	det
12	inversiones	NOUN	3	obj
13	acometidas	ADJ	12	amod
14	para	ADP	16	case
15	la	DET	16	det
16	maquinaria	NOUN	13	obl
17	encargada	ADJ	16	amod
18	de	ADP	19	mark
19	producir	VERB	17	xcomp
20	la	DET	21	det
21	placa	NOUN	19	obj
22	comunitaria	ADJ	21	amod
23	y	CCONJ	25	cc
24	el	DET	25	det
25	utillaje	NOUN	21	conj
26	y	CCONJ	45	cc
27	en	ADP	29	case
28	600	NUM	29	nummod
29	millones	NOUN	45	obl
30	el	DET	32	det
31	"	PUNCT	32	punct
32	stock	NOUN	45	obj
33	"	PUNCT	32	punct
34	de	ADP	36	case
35	un	NUM	36	nummod
36	millón	NOUN	32	nmod
37	de	ADP	38	case
38	placas	NOUN	36	nmod
39	producidas	ADJ	38	amod
40	imposibles	NOUN	38	nmod
41	de	ADP	42	mark
42	reutilizar	VERB	40	acl
43	si	SCONJ	45	mark
44	se	PRON	45	expl:pass
45	mantenía	VERB	3	conj
46	la	DET	47	det
47	matrícula	NOUN	45	nsubj
48	actual	ADJ	47	amod
49	.	PUNCT	3	punct