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:
After talking with Professors Titman, Ronn, Brown and Jemison, I was sure that the School was the right place to get the education I was looking for.
Postion	Tokenization
1	After
2	talking
3	with
4	Professors
5	Titman
6	,
7	Ronn
8	,
9	Brown
10	and
11	Jemison
12	,
13	I
14	was
15	sure
16	that
17	the
18	School
19	was
20	the
21	right
22	place
23	to
24	get
25	the
26	education
27	I
28	was
29	looking
30	for
31	.
Position	Tokenization	UPOS	Head	Deprel
1	After	SCONJ	2	mark
2	talking	VERB	15	advcl
3	with	ADP	4	case
4	Professors	PROPN	2	obl
5	Titman	PROPN	4	flat
6	,	PUNCT	7	punct
7	Ronn	PROPN	4	conj
8	,	PUNCT	9	punct
9	Brown	PROPN	4	conj
10	and	CCONJ	11	cc
11	Jemison	PROPN	4	conj
12	,	PUNCT	15	punct
13	I	PRON	15	nsubj
14	was	AUX	15	cop
15	sure	ADJ	0	root
16	that	SCONJ	22	mark
17	the	DET	18	det
18	School	NOUN	22	nsubj
19	was	AUX	22	cop
20	the	DET	22	det
21	right	ADJ	22	amod
22	place	NOUN	15	ccomp
23	to	PART	24	mark
24	get	VERB	22	acl
25	the	DET	26	det
26	education	NOUN	24	obj
27	I	PRON	29	nsubj
28	was	AUX	29	aux
29	looking	VERB	26	acl:relcl
30	for	ADP	29	obl
31	.	PUNCT	15	punct