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:
You will not be able to seek work or take a job, in Canada, with out having to show your Immigration VISA and Canadian Social Insurance Number card to any potential employer.
Postion	Tokenization
1	You
2	will
3	not
4	be
5	able
6	to
7	seek
8	work
9	or
10	take
11	a
12	job
13	,
14	in
15	Canada
16	,
17	with
18	out
19	having
20	to
21	show
22	your
23	Immigration
24	VISA
25	and
26	Canadian
27	Social
28	Insurance
29	Number
30	card
31	to
32	any
33	potential
34	employer
35	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	5	nsubj
2	will	AUX	5	aux
3	not	PART	5	advmod
4	be	AUX	5	cop
5	able	ADJ	0	root
6	to	PART	7	mark
7	seek	VERB	5	xcomp
8	work	NOUN	7	obj
9	or	CCONJ	10	cc
10	take	VERB	7	conj
11	a	DET	12	det
12	job	NOUN	10	obj
13	,	PUNCT	10	punct
14	in	ADP	15	case
15	Canada	PROPN	10	obl
16	,	PUNCT	10	punct
17	with	X	19	mark
18	out	SCONJ	17	goeswith
19	having	VERB	10	advcl
20	to	PART	21	mark
21	show	VERB	19	xcomp
22	your	PRON	24	nmod:poss
23	Immigration	PROPN	24	compound
24	VISA	PROPN	21	obj
25	and	CCONJ	30	cc
26	Canadian	ADJ	30	amod
27	Social	PROPN	28	compound
28	Insurance	PROPN	29	compound
29	Number	PROPN	30	compound
30	card	NOUN	24	conj
31	to	ADP	34	case
32	any	DET	34	det
33	potential	ADJ	34	amod
34	employer	NOUN	21	obl
35	.	PUNCT	5	punct