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:
Finally, it must be said that Stuart is a fantastic person to work with, because of his solid strategies and equally as importantly because he is a genuinely good person and a great communicator.
Postion	Tokenization
1	Finally
2	,
3	it
4	must
5	be
6	said
7	that
8	Stuart
9	is
10	a
11	fantastic
12	person
13	to
14	work
15	with
16	,
17	because
18	of
19	his
20	solid
21	strategies
22	and
23	equally
24	as
25	importantly
26	because
27	he
28	is
29	a
30	genuinely
31	good
32	person
33	and
34	a
35	great
36	communicator
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Finally	ADV	6	advmod
2	,	PUNCT	6	punct
3	it	PRON	6	expl
4	must	AUX	6	aux
5	be	AUX	6	aux:pass
6	said	VERB	0	root
7	that	SCONJ	12	mark
8	Stuart	PROPN	12	nsubj
9	is	AUX	12	cop
10	a	DET	12	det
11	fantastic	ADJ	12	amod
12	person	NOUN	6	csubj:pass
13	to	PART	14	mark
14	work	VERB	12	acl
15	with	ADP	14	obl
16	,	PUNCT	14	punct
17	because	ADP	21	case
18	of	ADP	17	fixed
19	his	PRON	21	nmod:poss
20	solid	ADJ	21	amod
21	strategies	NOUN	14	obl
22	and	CCONJ	32	cc
23	equally	ADV	32	advmod
24	as	ADP	25	case
25	importantly	ADV	23	obl
26	because	SCONJ	32	mark
27	he	PRON	32	nsubj
28	is	AUX	32	cop
29	a	DET	32	det
30	genuinely	ADV	31	advmod
31	good	ADJ	32	amod
32	person	NOUN	21	conj
33	and	CCONJ	36	cc
34	a	DET	36	det
35	great	ADJ	36	amod
36	communicator	NOUN	32	conj
37	.	PUNCT	6	punct