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:
Due to my disability, this will be a monumental task; but I am determined to prove to the Committee that I can be successful at The TEXAS Graduate School of Business.
Postion	Tokenization
1	Due
2	to
3	my
4	disability
5	,
6	this
7	will
8	be
9	a
10	monumental
11	task
12	;
13	but
14	I
15	am
16	determined
17	to
18	prove
19	to
20	the
21	Committee
22	that
23	I
24	can
25	be
26	successful
27	at
28	The
29	TEXAS
30	Graduate
31	School
32	of
33	Business
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Due	ADP	4	case
2	to	ADP	1	fixed
3	my	PRON	4	nmod:poss
4	disability	NOUN	11	obl
5	,	PUNCT	11	punct
6	this	PRON	11	nsubj
7	will	AUX	11	aux
8	be	AUX	11	cop
9	a	DET	11	det
10	monumental	ADJ	11	amod
11	task	NOUN	0	root
12	;	PUNCT	11	punct
13	but	CCONJ	16	cc
14	I	PRON	16	nsubj
15	am	AUX	16	cop
16	determined	ADJ	11	conj
17	to	PART	18	mark
18	prove	VERB	16	xcomp
19	to	ADP	21	case
20	the	DET	21	det
21	Committee	NOUN	18	obl
22	that	SCONJ	26	mark
23	I	PRON	26	nsubj
24	can	AUX	26	aux
25	be	AUX	26	cop
26	successful	ADJ	18	ccomp
27	at	ADP	31	case
28	The	DET	31	det
29	TEXAS	PROPN	31	compound
30	Graduate	PROPN	31	compound
31	School	PROPN	26	obl
32	of	ADP	33	case
33	Business	PROPN	31	nmod
34	.	PUNCT	11	punct