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:
En varias localidades del noroeste de Australia y en las numerosas islas situadas a lo largo de la costa, tanto el correo como la prensa y los alimentos se distribuyen por avión.
Postion	Tokenization
1	En
2	varias
3	localidades
4	del
5	noroeste
6	de
7	Australia
8	y
9	en
10	las
11	numerosas
12	islas
13	situadas
14	a
15	lo
16	largo
17	de
18	la
19	costa
20	,
21	tanto
22	el
23	correo
24	como
25	la
26	prensa
27	y
28	los
29	alimentos
30	se
31	distribuyen
32	por
33	avión
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	varias	DET	3	det
3	localidades	NOUN	31	obl
4	del	ADP	5	case
5	noroeste	NOUN	3	nmod
6	de	ADP	7	case
7	Australia	PROPN	5	nmod
8	y	CCONJ	12	cc
9	en	ADP	12	case
10	las	DET	12	det
11	numerosas	ADJ	12	amod
12	islas	NOUN	3	conj
13	situadas	ADJ	12	amod
14	a	ADP	19	case
15	lo	PRON	14	fixed
16	largo	NOUN	14	fixed
17	de	ADP	14	fixed
18	la	DET	19	det
19	costa	NOUN	13	obl
20	,	PUNCT	3	punct
21	tanto	ADV	23	cc
22	el	DET	23	det
23	correo	NOUN	31	nsubj
24	como	SCONJ	26	cc
25	la	DET	26	det
26	prensa	NOUN	23	conj
27	y	CCONJ	29	cc
28	los	DET	29	det
29	alimentos	NOUN	26	conj
30	se	PRON	31	expl:pass
31	distribuyen	VERB	0	root
32	por	ADP	33	case
33	avión	NOUN	31	obl
34	.	PUNCT	31	punct