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 rey Juan Carlos comenzará el día con un desayuno de trabajo con una representación significativa del empresariado español que ha convertido a España en el primer proveedor de Portugal.
Postion	Tokenization
1	El
2	rey
3	Juan
4	Carlos
5	comenzará
6	el
7	día
8	con
9	un
10	desayuno
11	de
12	trabajo
13	con
14	una
15	representación
16	significativa
17	del
18	empresariado
19	español
20	que
21	ha
22	convertido
23	a
24	España
25	en
26	el
27	primer
28	proveedor
29	de
30	Portugal
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	rey	NOUN	5	nsubj
3	Juan	PROPN	2	appos
4	Carlos	PROPN	3	flat
5	comenzará	VERB	0	root
6	el	DET	7	det
7	día	NOUN	5	obj
8	con	ADP	10	case
9	un	DET	10	det
10	desayuno	NOUN	5	obl
11	de	ADP	12	case
12	trabajo	NOUN	10	nmod
13	con	ADP	15	case
14	una	DET	15	det
15	representación	NOUN	10	nmod
16	significativa	ADJ	15	amod
17	del	ADP	18	case
18	empresariado	NOUN	15	nmod
19	español	ADJ	18	amod
20	que	PRON	22	nsubj
21	ha	AUX	22	aux
22	convertido	VERB	18	acl
23	a	ADP	24	case
24	España	PROPN	22	obj
25	en	ADP	28	case
26	el	DET	28	det
27	primer	ADJ	28	amod
28	proveedor	NOUN	22	obj
29	de	ADP	30	case
30	Portugal	PROPN	28	nmod
31	.	PUNCT	5	punct