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:
Both towns have airports that are served regularly from the larger cities such as Sao Paulo, Rio de Janeiro and Buenos Aires.
Postion	Tokenization
1	Both
2	towns
3	have
4	airports
5	that
6	are
7	served
8	regularly
9	from
10	the
11	larger
12	cities
13	such
14	as
15	Sao
16	Paulo
17	,
18	Rio
19	de
20	Janeiro
21	and
22	Buenos
23	Aires
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Both	DET	2	det
2	towns	NOUN	3	nsubj
3	have	VERB	0	root
4	airports	NOUN	3	obj
5	that	PRON	7	nsubj:pass
6	are	AUX	7	aux:pass
7	served	VERB	4	acl:relcl
8	regularly	ADV	7	advmod
9	from	ADP	12	case
10	the	DET	12	det
11	larger	ADJ	12	amod
12	cities	NOUN	7	obl
13	such	ADJ	16	case
14	as	ADP	13	fixed
15	Sao	PROPN	16	compound
16	Paulo	PROPN	12	nmod
17	,	PUNCT	20	punct
18	Rio	PROPN	20	compound
19	de	PROPN	20	compound
20	Janeiro	PROPN	16	conj
21	and	CCONJ	23	cc
22	Buenos	PROPN	23	compound
23	Aires	PROPN	16	conj
24	.	PUNCT	3	punct