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:
En este apartado, las inversiones crecen más también en Navarra (más de un 469 por ciento respecto al año 2000) y en Murcia (un 220 por ciento), además de en Andalucía y Castilla y León, donde casi se duplican.
Postion	Tokenization
1	En
2	este
3	apartado
4	,
5	las
6	inversiones
7	crecen
8	más
9	también
10	en
11	Navarra
12	(
13	más
14	de
15	un
16	469
17	por
18	ciento
19	respecto
20	al
21	año
22	2000
23	)
24	y
25	en
26	Murcia
27	(
28	un
29	220
30	por
31	ciento
32	)
33	,
34	además
35	de
36	en
37	Andalucía
38	y
39	Castilla
40	y
41	León
42	,
43	donde
44	casi
45	se
46	duplican
47	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	apartado	NOUN	7	obl
4	,	PUNCT	3	punct
5	las	DET	6	det
6	inversiones	NOUN	7	nsubj
7	crecen	VERB	0	root
8	más	ADV	7	advmod
9	también	ADV	7	advmod
10	en	ADP	11	case
11	Navarra	PROPN	7	obl
12	(	PUNCT	16	punct
13	más	ADV	15	advmod
14	de	ADP	15	case
15	un	PRON	16	nmod
16	469	NUM	11	appos
17	por	ADP	18	case
18	ciento	NUM	16	compound
19	respecto	NOUN	21	case
20	al	ADP	19	fixed
21	año	NOUN	16	nmod
22	2000	NUM	21	compound
23	)	PUNCT	16	punct
24	y	CCONJ	26	cc
25	en	ADP	26	case
26	Murcia	PROPN	11	conj
27	(	PUNCT	29	punct
28	un	DET	29	det
29	220	NUM	26	appos
30	por	ADP	31	case
31	ciento	NUM	29	compound
32	)	PUNCT	29	punct
33	,	PUNCT	37	punct
34	además	ADV	37	cc
35	de	ADP	34	fixed
36	en	ADP	37	case
37	Andalucía	PROPN	11	conj
38	y	CCONJ	39	cc
39	Castilla	PROPN	37	conj
40	y	CCONJ	41	cc
41	León	PROPN	39	conj
42	,	PUNCT	46	punct
43	donde	PRON	46	obl
44	casi	ADV	46	advmod
45	se	PRON	46	expl:pv
46	duplican	VERB	37	acl
47	.	PUNCT	7	punct