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 you and Professors Titman, Brown and Jemison, I was sure that UT was the right place to continue learning about energy-finance.
Postion	Tokenization
1	After
2	talking
3	with
4	you
5	and
6	Professors
7	Titman
8	,
9	Brown
10	and
11	Jemison
12	,
13	I
14	was
15	sure
16	that
17	UT
18	was
19	the
20	right
21	place
22	to
23	continue
24	learning
25	about
26	energy
27	-
28	finance
29	.
Position	Tokenization	UPOS	Head	Deprel
1	After	SCONJ	2	mark
2	talking	VERB	15	advcl
3	with	ADP	4	case
4	you	PRON	2	obl
5	and	CCONJ	6	cc
6	Professors	PROPN	4	conj
7	Titman	PROPN	6	flat
8	,	PUNCT	9	punct
9	Brown	PROPN	6	conj
10	and	CCONJ	11	cc
11	Jemison	PROPN	6	conj
12	,	PUNCT	15	punct
13	I	PRON	15	nsubj
14	was	AUX	15	cop
15	sure	ADJ	0	root
16	that	SCONJ	21	mark
17	UT	PROPN	21	nsubj
18	was	AUX	21	cop
19	the	DET	21	det
20	right	ADJ	21	amod
21	place	NOUN	15	ccomp
22	to	PART	23	mark
23	continue	VERB	21	acl
24	learning	VERB	23	xcomp
25	about	ADP	28	case
26	energy	NOUN	28	compound
27	-	PUNCT	28	punct
28	finance	NOUN	24	obl
29	.	PUNCT	15	punct