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:
Las autoridades australianas, conscientes de los posibles abusos que pueden cometer los dueños de los comercios, han reforzado sus equipos antifraude en Sydney.
Postion	Tokenization
1	Las
2	autoridades
3	australianas
4	,
5	conscientes
6	de
7	los
8	posibles
9	abusos
10	que
11	pueden
12	cometer
13	los
14	dueños
15	de
16	los
17	comercios
18	,
19	han
20	reforzado
21	sus
22	equipos
23	antifraude
24	en
25	Sydney
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	autoridades	NOUN	20	nsubj
3	australianas	ADJ	2	amod
4	,	PUNCT	5	punct
5	conscientes	ADJ	2	amod
6	de	ADP	9	case
7	los	DET	9	det
8	posibles	ADJ	9	amod
9	abusos	NOUN	5	nmod
10	que	PRON	12	obj
11	pueden	AUX	12	aux
12	cometer	VERB	9	acl
13	los	DET	14	det
14	dueños	NOUN	12	nsubj
15	de	ADP	17	case
16	los	DET	17	det
17	comercios	NOUN	14	nmod
18	,	PUNCT	5	punct
19	han	AUX	20	aux
20	reforzado	VERB	0	root
21	sus	DET	22	det
22	equipos	NOUN	20	obj
23	antifraude	ADJ	22	amod
24	en	ADP	25	case
25	Sydney	PROPN	22	nmod
26	.	PUNCT	20	punct