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:
We are absolutely confident that Stuart's ethical and focused strategies will see these trends continue to grow, and our business will reap the rewards of this program.
Postion	Tokenization
1	We
2	are
3	absolutely
4	confident
5	that
6	Stuart's
7	Stuart
8	's
9	ethical
10	and
11	focused
12	strategies
13	will
14	see
15	these
16	trends
17	continue
18	to
19	grow
20	,
21	and
22	our
23	business
24	will
25	reap
26	the
27	rewards
28	of
29	this
30	program
31	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	4	nsubj
2	are	AUX	4	cop
3	absolutely	ADV	4	advmod
4	confident	ADJ	0	root
5	that	SCONJ	13	mark
6	Stuart's	_	None	_
7	Stuart	PROPN	11	nmod:poss
8	's	PART	6	case
9	ethical	ADJ	11	amod
10	and	CCONJ	10	cc
11	focused	VERB	8	conj
12	strategies	NOUN	13	nsubj
13	will	AUX	13	aux
14	see	VERB	4	ccomp
15	these	DET	15	det
16	trends	NOUN	16	nsubj
17	continue	VERB	13	ccomp
18	to	PART	18	mark
19	grow	VERB	16	xcomp
20	,	PUNCT	24	punct
21	and	CCONJ	24	cc
22	our	PRON	22	nmod:poss
23	business	NOUN	24	nsubj
24	will	AUX	24	aux
25	reap	VERB	13	conj
26	the	DET	26	det
27	rewards	NOUN	24	obj
28	of	ADP	29	case
29	this	DET	29	det
30	program	NOUN	26	nmod
31	.	PUNCT	4	punct