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 certain that the School is the best place for getting a great graduate-level education, so I want you to know that I am going to do whatever it takes to get in next year.
Postion	Tokenization
1	I
2	am
3	still
4	certain
5	that
6	the
7	School
8	is
9	the
10	best
11	place
12	for
13	getting
14	a
15	great
16	graduate
17	-
18	level
19	education
20	,
21	so
22	I
23	want
24	you
25	to
26	know
27	that
28	I
29	am
30	going
31	to
32	do
33	whatever
34	it
35	takes
36	to
37	get
38	in
39	next
40	year
41	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	am	AUX	4	cop
3	still	ADV	4	advmod
4	certain	ADJ	0	root
5	that	SCONJ	11	mark
6	the	DET	7	det
7	School	NOUN	11	nsubj
8	is	AUX	11	cop
9	the	DET	11	det
10	best	ADJ	11	amod
11	place	NOUN	4	ccomp
12	for	SCONJ	13	mark
13	getting	VERB	11	advcl
14	a	DET	19	det
15	great	ADJ	19	amod
16	graduate	NOUN	18	compound
17	-	PUNCT	18	punct
18	level	NOUN	19	compound
19	education	NOUN	13	obj
20	,	PUNCT	23	punct
21	so	ADV	23	advmod
22	I	PRON	23	nsubj
23	want	VERB	4	conj
24	you	PRON	23	obj
25	to	PART	26	mark
26	know	VERB	23	xcomp
27	that	SCONJ	30	mark
28	I	PRON	30	nsubj
29	am	AUX	30	aux
30	going	VERB	26	ccomp
31	to	PART	32	mark
32	do	VERB	30	xcomp
33	whatever	PRON	35	obj
34	it	PRON	35	expl
35	takes	VERB	32	ccomp
36	to	PART	37	mark
37	get	VERB	35	csubj
38	in	ADV	37	advmod
39	next	ADJ	40	amod
40	year	NOUN	37	obl:tmod
41	.	PUNCT	4	punct