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:
The nearest towns to the site are Puerto Iguazu in Argentina, about 12 miles from the falls, and Foz do Iguaçu in Brazil, which is equally close.
Postion	Tokenization
1	The
2	nearest
3	towns
4	to
5	the
6	site
7	are
8	Puerto
9	Iguazu
10	in
11	Argentina
12	,
13	about
14	12
15	miles
16	from
17	the
18	falls
19	,
20	and
21	Foz
22	do
23	Iguaçu
24	in
25	Brazil
26	,
27	which
28	is
29	equally
30	close
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	nearest	ADJ	3	amod
3	towns	NOUN	8	nsubj
4	to	ADP	6	case
5	the	DET	6	det
6	site	NOUN	3	nmod
7	are	AUX	8	cop
8	Puerto	PROPN	0	root
9	Iguazu	PROPN	8	flat
10	in	ADP	11	case
11	Argentina	PROPN	8	nmod
12	,	PUNCT	8	punct
13	about	ADV	14	advmod
14	12	NUM	15	nummod
15	miles	NOUN	18	nmod:npmod
16	from	ADP	18	case
17	the	DET	18	det
18	falls	NOUN	8	obl
19	,	PUNCT	21	punct
20	and	CCONJ	21	cc
21	Foz	PROPN	8	conj
22	do	PROPN	21	flat
23	Iguaçu	PROPN	21	flat
24	in	ADP	25	case
25	Brazil	PROPN	21	nmod
26	,	PUNCT	21	punct
27	which	PRON	30	nsubj
28	is	AUX	30	cop
29	equally	ADV	30	advmod
30	close	ADJ	21	acl:relcl
31	.	PUNCT	8	punct