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 bajó del avión que lo trajo desde Brasil con un traje de color marrón y la reina Sofía vestía un abrigo verde claro.
Postion	Tokenization
1	El
2	Rey
3	Juan
4	Carlos
5	bajó
6	del
7	avión
8	que
9	lo
10	trajo
11	desde
12	Brasil
13	con
14	un
15	traje
16	de
17	color
18	marrón
19	y
20	la
21	reina
22	Sofía
23	vestía
24	un
25	abrigo
26	verde
27	claro
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Rey	PROPN	5	nsubj
3	Juan	PROPN	2	flat
4	Carlos	PROPN	2	flat
5	bajó	VERB	0	root
6	del	ADP	7	case
7	avión	NOUN	5	obl
8	que	PRON	10	nsubj
9	lo	PRON	10	obj
10	trajo	VERB	7	acl
11	desde	ADP	12	case
12	Brasil	PROPN	10	obl
13	con	ADP	15	case
14	un	DET	15	det
15	traje	NOUN	5	obl
16	de	ADP	17	case
17	color	NOUN	15	nmod
18	marrón	ADJ	17	amod
19	y	CCONJ	23	cc
20	la	DET	21	det
21	reina	NOUN	23	nsubj
22	Sofía	PROPN	21	appos
23	vestía	VERB	5	conj
24	un	DET	25	det
25	abrigo	NOUN	23	obj
26	verde	ADJ	25	amod
27	claro	ADJ	26	amod
28	.	PUNCT	5	punct