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 am still sure that UT is the place for getting an excellent graduate-level education, so I want you to know that I am going to do what ever it takes to get in next year.
Postion	Tokenization
1	I
2	am
3	still
4	sure
5	that
6	UT
7	is
8	the
9	place
10	for
11	getting
12	an
13	excellent
14	graduate
15	-
16	level
17	education
18	,
19	so
20	I
21	want
22	you
23	to
24	know
25	that
26	I
27	am
28	going
29	to
30	do
31	what
32	ever
33	it
34	takes
35	to
36	get
37	in
38	next
39	year
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	am	AUX	4	cop
3	still	ADV	4	advmod
4	sure	ADJ	0	root
5	that	SCONJ	9	mark
6	UT	PROPN	9	nsubj
7	is	AUX	9	cop
8	the	DET	9	det
9	place	NOUN	4	ccomp
10	for	SCONJ	11	mark
11	getting	VERB	9	acl
12	an	DET	17	det
13	excellent	ADJ	17	amod
14	graduate	NOUN	16	compound
15	-	PUNCT	16	punct
16	level	NOUN	17	compound
17	education	NOUN	11	obj
18	,	PUNCT	21	punct
19	so	ADV	21	advmod
20	I	PRON	21	nsubj
21	want	VERB	4	conj
22	you	PRON	21	obj
23	to	PART	24	mark
24	know	VERB	21	xcomp
25	that	SCONJ	28	mark
26	I	PRON	28	nsubj
27	am	AUX	28	aux
28	going	VERB	24	ccomp
29	to	PART	30	mark
30	do	VERB	28	xcomp
31	what	X	30	obj
32	ever	PRON	31	goeswith
33	it	PRON	34	nsubj
34	takes	VERB	31	acl:relcl
35	to	PART	36	mark
36	get	VERB	34	advcl
37	in	ADV	36	advmod
38	next	ADJ	39	amod
39	year	NOUN	36	obl:tmod
40	.	PUNCT	4	punct