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 futuro jefe del Gobierno italiano y el hombre más rico del país gastó más de 6.800 millones de pesetas en la campaña para las elecciones legislativas del pasado 13 de mayo, según el semanario L'Espresso.
Postion	Tokenization
1	El
2	futuro
3	jefe
4	del
5	Gobierno
6	italiano
7	y
8	el
9	hombre
10	más
11	rico
12	del
13	país
14	gastó
15	más
16	de
17	6.800
18	millones
19	de
20	pesetas
21	en
22	la
23	campaña
24	para
25	las
26	elecciones
27	legislativas
28	del
29	pasado
30	13
31	de
32	mayo
33	,
34	según
35	el
36	semanario
37	L'Espresso
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	futuro	ADJ	3	amod
3	jefe	NOUN	14	nsubj
4	del	ADP	5	case
5	Gobierno	PROPN	3	nmod
6	italiano	ADJ	5	amod
7	y	CCONJ	9	cc
8	el	DET	9	det
9	hombre	NOUN	3	conj
10	más	ADV	11	advmod
11	rico	ADJ	9	amod
12	del	ADP	13	case
13	país	NOUN	9	nmod
14	gastó	VERB	0	root
15	más	ADV	18	advmod
16	de	ADP	15	case
17	6.800	NUM	15	nummod
18	millones	NOUN	14	obj
19	de	ADP	20	case
20	pesetas	NOUN	18	nmod
21	en	ADP	23	case
22	la	DET	23	det
23	campaña	NOUN	14	obl
24	para	ADP	26	case
25	las	DET	26	det
26	elecciones	NOUN	23	nmod
27	legislativas	ADJ	26	amod
28	del	ADP	30	case
29	pasado	ADJ	30	amod
30	13	NUM	26	nmod
31	de	ADP	32	case
32	mayo	NOUN	30	compound
33	,	PUNCT	36	punct
34	según	ADP	36	case
35	el	DET	36	det
36	semanario	NOUN	14	obl
37	L'Espresso	PROPN	36	appos
38	.	PUNCT	14	punct