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 gasto medio por habitante en material deportivo ha aumentado en España de 1993 a 1998 en un 121,6 por ciento y, en ese último año, se ha situado en 12.787 pesetas, según el Libro Blanco del Sector de Artículos Deportivos, que se presentará en Barcelona con motivo del Salón Internacional del Deporte.
Postion	Tokenization
1	El
2	gasto
3	medio
4	por
5	habitante
6	en
7	material
8	deportivo
9	ha
10	aumentado
11	en
12	España
13	de
14	1993
15	a
16	1998
17	en
18	un
19	121,6
20	por
21	ciento
22	y
23	,
24	en
25	ese
26	último
27	año
28	,
29	se
30	ha
31	situado
32	en
33	12.787
34	pesetas
35	,
36	según
37	el
38	Libro
39	Blanco
40	del
41	Sector
42	de
43	Artículos
44	Deportivos
45	,
46	que
47	se
48	presentará
49	en
50	Barcelona
51	con
52	motivo
53	del
54	Salón
55	Internacional
56	del
57	Deporte
58	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	gasto	NOUN	10	nsubj
3	medio	ADJ	2	amod
4	por	ADP	5	case
5	habitante	NOUN	2	nmod
6	en	ADP	7	case
7	material	NOUN	2	nmod
8	deportivo	ADJ	7	amod
9	ha	AUX	10	aux
10	aumentado	VERB	0	root
11	en	ADP	12	case
12	España	PROPN	10	obl
13	de	ADP	14	case
14	1993	NOUN	10	obl
15	a	ADP	16	case
16	1998	NOUN	10	obl
17	en	ADP	19	case
18	un	DET	19	det
19	121,6	NUM	10	obl
20	por	ADP	21	case
21	ciento	NUM	19	compound
22	y	CCONJ	31	cc
23	,	PUNCT	27	punct
24	en	ADP	27	case
25	ese	DET	27	det
26	último	ADJ	27	amod
27	año	NOUN	31	obl
28	,	PUNCT	27	punct
29	se	PRON	31	expl:pv
30	ha	AUX	31	aux
31	situado	VERB	10	conj
32	en	ADP	34	case
33	12.787	NUM	34	nummod
34	pesetas	NOUN	31	obj
35	,	PUNCT	38	punct
36	según	ADP	38	case
37	el	DET	38	det
38	Libro	PROPN	31	obl
39	Blanco	PROPN	38	flat
40	del	ADP	41	case
41	Sector	PROPN	38	flat
42	de	ADP	43	case
43	Artículos	PROPN	38	flat
44	Deportivos	PROPN	38	flat
45	,	PUNCT	48	punct
46	que	PRON	48	nsubj
47	se	PRON	48	expl:pass
48	presentará	VERB	38	acl
49	en	ADP	50	case
50	Barcelona	PROPN	48	obl
51	con	ADP	54	case
52	motivo	NOUN	51	fixed
53	del	ADP	51	fixed
54	Salón	PROPN	48	obl
55	Internacional	PROPN	54	flat
56	del	ADP	57	case
57	Deporte	PROPN	54	flat
58	.	PUNCT	10	punct