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:
"Tuve una breve conversación con Brian y le expliqué que mi intención es llevar a la Eurocopa el mejor equipo posible.
Postion	Tokenization
1	"
2	Tuve
3	una
4	breve
5	conversación
6	con
7	Brian
8	y
9	le
10	expliqué
11	que
12	mi
13	intención
14	es
15	llevar
16	a
17	la
18	Eurocopa
19	el
20	mejor
21	equipo
22	posible
23	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Tuve	VERB	0	root
3	una	DET	5	det
4	breve	ADJ	5	amod
5	conversación	NOUN	2	obj
6	con	ADP	7	case
7	Brian	PROPN	2	obl
8	y	CCONJ	10	cc
9	le	PRON	10	iobj
10	expliqué	VERB	2	conj
11	que	SCONJ	14	mark
12	mi	DET	13	det
13	intención	NOUN	14	nsubj
14	es	AUX	10	ccomp
15	llevar	VERB	14	ccomp
16	a	ADP	18	case
17	la	DET	18	det
18	Eurocopa	PROPN	15	obj
19	el	DET	21	det
20	mejor	ADJ	21	amod
21	equipo	NOUN	15	obj
22	posible	ADJ	21	amod
23	.	PUNCT	2	punct