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:
Esas inversiones superan los 1,2 billones de pesetas (un 44 por ciento más que en el año 2000), de los que 817.206 corresponden a Puerto del Estado, Renfe, Aeropuertos Españoles (AENA) y el Gestor de Infraestructuras Ferroviarias (GIF).
Postion	Tokenization
1	Esas
2	inversiones
3	superan
4	los
5	1,2
6	billones
7	de
8	pesetas
9	(
10	un
11	44
12	por
13	ciento
14	más
15	que
16	en
17	el
18	año
19	2000
20	)
21	,
22	de
23	los
24	que
25	817.206
26	corresponden
27	a
28	Puerto
29	del
30	Estado
31	,
32	Renfe
33	,
34	Aeropuertos
35	Españoles
36	(
37	AENA
38	)
39	y
40	el
41	Gestor
42	de
43	Infraestructuras
44	Ferroviarias
45	(
46	GIF
47	)
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Esas	DET	2	det
2	inversiones	NOUN	3	nsubj
3	superan	VERB	0	root
4	los	DET	5	det
5	1,2	NUM	6	nummod
6	billones	NOUN	3	obj
7	de	ADP	8	case
8	pesetas	NOUN	6	nmod
9	(	PUNCT	11	punct
10	un	DET	11	det
11	44	NUM	6	appos
12	por	ADP	13	case
13	ciento	NUM	11	compound
14	más	ADV	11	advmod
15	que	SCONJ	18	mark
16	en	ADP	18	case
17	el	DET	18	det
18	año	NOUN	11	obl
19	2000	NUM	18	compound
20	)	PUNCT	11	punct
21	,	PUNCT	26	punct
22	de	ADP	24	case
23	los	DET	24	det
24	que	PRON	26	obj
25	817.206	NUM	26	nsubj
26	corresponden	VERB	3	advcl
27	a	ADP	28	case
28	Puerto	PROPN	26	obj
29	del	ADP	30	case
30	Estado	PROPN	28	flat
31	,	PUNCT	32	punct
32	Renfe	PROPN	28	flat
33	,	PUNCT	34	punct
34	Aeropuertos	PROPN	28	flat
35	Españoles	PROPN	34	flat
36	(	PUNCT	37	punct
37	AENA	PROPN	34	flat
38	)	PUNCT	37	punct
39	y	CCONJ	41	cc
40	el	DET	41	det
41	Gestor	PROPN	28	conj
42	de	ADP	43	case
43	Infraestructuras	PROPN	41	flat
44	Ferroviarias	PROPN	43	flat
45	(	PUNCT	46	punct
46	GIF	PROPN	41	flat
47	)	PUNCT	46	punct
48	.	PUNCT	3	punct