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:
Italia rivaliza junto a España y Francia, como país expoliado en materia de obras de arte en Europa, pero, paradójicamente, es uno de los destinos más recurrentes que emprenden los botines de los saqueadores que operan en el Estado español.
Postion	Tokenization
1	Italia
2	rivaliza
3	junto
4	a
5	España
6	y
7	Francia
8	,
9	como
10	país
11	expoliado
12	en
13	materia
14	de
15	obras
16	de
17	arte
18	en
19	Europa
20	,
21	pero
22	,
23	paradójicamente
24	,
25	es
26	uno
27	de
28	los
29	destinos
30	más
31	recurrentes
32	que
33	emprenden
34	los
35	botines
36	de
37	los
38	saqueadores
39	que
40	operan
41	en
42	el
43	Estado
44	español
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Italia	PROPN	2	nsubj
2	rivaliza	VERB	0	root
3	junto	ADJ	5	case
4	a	ADP	3	fixed
5	España	PROPN	2	obl
6	y	CCONJ	7	cc
7	Francia	PROPN	5	conj
8	,	PUNCT	10	punct
9	como	SCONJ	10	mark
10	país	NOUN	2	obj
11	expoliado	ADJ	10	amod
12	en	ADP	15	case
13	materia	NOUN	12	fixed
14	de	ADP	12	fixed
15	obras	NOUN	11	obl
16	de	ADP	17	case
17	arte	NOUN	15	nmod
18	en	ADP	19	case
19	Europa	PROPN	10	nmod
20	,	PUNCT	10	punct
21	pero	CCONJ	26	cc
22	,	PUNCT	23	punct
23	paradójicamente	ADV	26	advmod
24	,	PUNCT	23	punct
25	es	AUX	26	cop
26	uno	PRON	2	conj
27	de	ADP	29	case
28	los	DET	29	det
29	destinos	NOUN	26	nmod
30	más	ADV	31	advmod
31	recurrentes	ADJ	29	amod
32	que	PRON	33	obj
33	emprenden	VERB	29	acl
34	los	DET	35	det
35	botines	NOUN	33	nsubj
36	de	ADP	38	case
37	los	DET	38	det
38	saqueadores	NOUN	35	nmod
39	que	PRON	40	nsubj
40	operan	VERB	38	acl
41	en	ADP	43	case
42	el	DET	43	det
43	Estado	PROPN	40	obl
44	español	ADJ	43	amod
45	.	PUNCT	2	punct