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:
Recién llegado de Tailandia de jugar un partido amistoso con la selección de Brasil, Roberto estuvo entrenando en la Ciudad Deportiva con total normalidad.
Postion	Tokenization
1	Recién
2	llegado
3	de
4	Tailandia
5	de
6	jugar
7	un
8	partido
9	amistoso
10	con
11	la
12	selección
13	de
14	Brasil
15	,
16	Roberto
17	estuvo
18	entrenando
19	en
20	la
21	Ciudad
22	Deportiva
23	con
24	total
25	normalidad
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Recién	ADV	2	advmod
2	llegado	ADJ	16	amod
3	de	ADP	4	case
4	Tailandia	PROPN	2	obl
5	de	ADP	6	mark
6	jugar	VERB	2	advcl
7	un	DET	8	det
8	partido	NOUN	6	obj
9	amistoso	ADJ	8	amod
10	con	ADP	12	case
11	la	DET	12	det
12	selección	NOUN	6	obl
13	de	ADP	14	case
14	Brasil	PROPN	12	nmod
15	,	PUNCT	2	punct
16	Roberto	PROPN	18	nsubj
17	estuvo	AUX	18	aux
18	entrenando	VERB	0	root
19	en	ADP	21	case
20	la	DET	21	det
21	Ciudad	PROPN	18	obl
22	Deportiva	PROPN	21	flat
23	con	ADP	25	case
24	total	ADJ	25	amod
25	normalidad	NOUN	18	obl
26	.	PUNCT	18	punct