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 lateral brasileño desveló parte del contenido de la conversación mantenida el día antes por Florentino Pérez con los internacionales recién incorporados.
Postion	Tokenization
1	El
2	lateral
3	brasileño
4	desveló
5	parte
6	del
7	contenido
8	de
9	la
10	conversación
11	mantenida
12	el
13	día
14	antes
15	por
16	Florentino
17	Pérez
18	con
19	los
20	internacionales
21	recién
22	incorporados
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	lateral	NOUN	4	nsubj
3	brasileño	ADJ	2	amod
4	desveló	VERB	0	root
5	parte	NOUN	4	obj
6	del	ADP	7	case
7	contenido	NOUN	5	nmod
8	de	ADP	10	case
9	la	DET	10	det
10	conversación	NOUN	7	nmod
11	mantenida	ADJ	10	amod
12	el	DET	13	det
13	día	NOUN	14	obl
14	antes	ADV	11	advmod
15	por	ADP	16	case
16	Florentino	PROPN	11	obj
17	Pérez	PROPN	16	flat
18	con	ADP	22	case
19	los	DET	22	det
20	internacionales	ADJ	22	amod
21	recién	ADV	22	advmod
22	incorporados	ADJ	11	advmod
23	.	PUNCT	4	punct