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:
It only matters if you received an offer of employment or if you are currently working in New Zealand and used that job in your application to get your skilled migrant visa.
Postion	Tokenization
1	It
2	only
3	matters
4	if
5	you
6	received
7	an
8	offer
9	of
10	employment
11	or
12	if
13	you
14	are
15	currently
16	working
17	in
18	New
19	Zealand
20	and
21	used
22	that
23	job
24	in
25	your
26	application
27	to
28	get
29	your
30	skilled
31	migrant
32	visa
33	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	3	nsubj
2	only	ADV	3	advmod
3	matters	VERB	0	root
4	if	SCONJ	6	mark
5	you	PRON	6	nsubj
6	received	VERB	3	advcl
7	an	DET	8	det
8	offer	NOUN	6	obj
9	of	ADP	10	case
10	employment	NOUN	8	nmod
11	or	CCONJ	16	cc
12	if	SCONJ	16	mark
13	you	PRON	16	nsubj
14	are	AUX	16	aux
15	currently	ADV	16	advmod
16	working	VERB	6	conj
17	in	ADP	19	case
18	New	PROPN	19	compound
19	Zealand	PROPN	16	obl
20	and	CCONJ	21	cc
21	used	VERB	16	conj
22	that	DET	23	det
23	job	NOUN	21	obj
24	in	ADP	26	case
25	your	PRON	26	nmod:poss
26	application	NOUN	21	obl
27	to	PART	28	mark
28	get	VERB	26	acl
29	your	PRON	32	nmod:poss
30	skilled	ADJ	31	amod
31	migrant	NOUN	32	compound
32	visa	NOUN	28	obj
33	.	PUNCT	3	punct