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:
Mientras septiembre llega y con ese mes los Juegos de la vigésimo séptima Olimpiada, en la ciudad de Londrina Ronaldinho cuenta las horas para regresar a su casa, en Porto Alegre.
Postion	Tokenization
1	Mientras
2	septiembre
3	llega
4	y
5	con
6	ese
7	mes
8	los
9	Juegos
10	de
11	la
12	vigésimo
13	séptima
14	Olimpiada
15	,
16	en
17	la
18	ciudad
19	de
20	Londrina
21	Ronaldinho
22	cuenta
23	las
24	horas
25	para
26	regresar
27	a
28	su
29	casa
30	,
31	en
32	Porto
33	Alegre
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	SCONJ	3	mark
2	septiembre	NOUN	3	nsubj
3	llega	VERB	22	advcl
4	y	CCONJ	9	cc
5	con	ADP	7	case
6	ese	DET	7	det
7	mes	NOUN	9	nmod
8	los	DET	9	det
9	Juegos	PROPN	3	conj
10	de	ADP	14	case
11	la	DET	14	det
12	vigésimo	ADJ	14	amod
13	séptima	ADJ	12	amod
14	Olimpiada	PROPN	9	nmod
15	,	PUNCT	3	punct
16	en	ADP	18	case
17	la	DET	18	det
18	ciudad	NOUN	22	obl
19	de	ADP	20	case
20	Londrina	PROPN	18	nmod
21	Ronaldinho	PROPN	22	nsubj
22	cuenta	VERB	0	root
23	las	DET	24	det
24	horas	NOUN	22	obj
25	para	ADP	26	mark
26	regresar	VERB	24	acl
27	a	ADP	29	case
28	su	DET	29	det
29	casa	NOUN	26	obl
30	,	PUNCT	32	punct
31	en	ADP	32	case
32	Porto	PROPN	29	nmod
33	Alegre	PROPN	32	flat
34	.	PUNCT	22	punct