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 text: I don't think they ban if the tats aren't offensive and you should make them not noticeable at the time of the interview but once you got the job there nothing they can really say if so you have a sue/case against them
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	don't	_	None	_
3	do	AUX	4	aux
4	n't	PART	4	advmod
5	think	VERB	0	root
6	they	PRON	6	nsubj
7	ban	VERB	4	ccomp
8	if	SCONJ	12	mark
9	the	DET	9	det
10	tats	NOUN	12	nsubj
11	aren't	_	None	_
12	are	AUX	12	cop
13	n't	PART	12	advmod
14	offensive	ADJ	6	advcl
15	and	CCONJ	16	cc
16	you	PRON	16	nsubj
17	should	AUX	16	aux
18	make	VERB	4	conj
19	them	PRON	16	obj
20	not	ADV	19	advmod
21	noticeable	ADJ	16	xcomp
22	at	ADP	22	case
23	the	DET	22	det
24	time	NOUN	19	obl
25	of	ADP	25	case
26	the	DET	25	det
27	interview	NOUN	22	nmod
28	but	CCONJ	33	cc
29	once	SCONJ	29	mark
30	you	PRON	29	nsubj
31	got	VERB	33	advcl
32	the	DET	31	det
33	job	NOUN	29	obj
34	there	PRON	33	expl
35	nothing	PRON	4	conj
36	they	PRON	37	nsubj
37	can	AUX	37	aux
38	really	ADV	37	advmod
39	say	VERB	33	acl:relcl
40	if	SCONJ	39	mark
41	so	ADV	41	advcl
42	you	PRON	41	nsubj
43	have	VERB	33	parataxis
44	a	DET	43	det
45	sue	NOUN	41	obj
46	/	PUNCT	45	cc
47	case	NOUN	43	conj
48	against	ADP	47	case
49	them	PRON	43	nmod