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:
I'm just trying to make up my mind whether I should move to Australia or seek work in the sex industry.
Postion	Tokenization
1	I'm
2	I
3	'm
4	just
5	trying
6	to
7	make
8	up
9	my
10	mind
11	whether
12	I
13	should
14	move
15	to
16	Australia
17	or
18	seek
19	work
20	in
21	the
22	sex
23	industry
24	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	4	nsubj
3	'm	AUX	4	aux
4	just	ADV	4	advmod
5	trying	VERB	0	root
6	to	PART	6	mark
7	make	VERB	4	xcomp
8	up	ADP	6	compound:prt
9	my	PRON	9	nmod:poss
10	mind	NOUN	6	obj
11	whether	SCONJ	13	mark
12	I	PRON	13	nsubj
13	should	AUX	13	aux
14	move	VERB	6	ccomp
15	to	ADP	15	case
16	Australia	PROPN	13	obl
17	or	CCONJ	17	cc
18	seek	VERB	13	conj
19	work	NOUN	17	obj
20	in	ADP	22	case
21	the	DET	22	det
22	sex	NOUN	22	compound
23	industry	NOUN	17	obl
24	.	PUNCT	4	punct