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 have to bring in your own models and they have to pay for you to use them if you dont then you can graduate!
Postion	Tokenization
1	You
2	have
3	to
4	bring
5	in
6	your
7	own
8	models
9	and
10	they
11	have
12	to
13	pay
14	for
15	you
16	to
17	use
18	them
19	if
20	you
21	dont
22	do
23	nt
24	then
25	you
26	can
27	graduate
28	!
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	2	nsubj
2	have	VERB	0	root
3	to	PART	4	mark
4	bring	VERB	2	xcomp
5	in	ADV	4	advmod
6	your	PRON	8	nmod:poss
7	own	ADJ	8	amod
8	models	NOUN	4	obj
9	and	CCONJ	11	cc
10	they	PRON	11	nsubj
11	have	VERB	2	conj
12	to	PART	13	mark
13	pay	VERB	11	xcomp
14	for	SCONJ	17	mark
15	you	PRON	17	nsubj
16	to	PART	17	mark
17	use	VERB	13	advcl
18	them	PRON	17	obj
19	if	SCONJ	21	mark
20	you	PRON	21	nsubj
21	dont	_	None	_
22	do	AUX	26	advcl
23	nt	PART	21	advmod
24	then	ADV	26	advmod
25	you	PRON	26	nsubj
26	can	AUX	26	aux
27	graduate	VERB	2	parataxis
28	!	PUNCT	2	punct