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:
The fact is, when I began traveling for business to New England, when I first visited my in-laws in Montana and Idaho, I was shocked at the lack of racial diversity.
Postion	Tokenization
1	The
2	fact
3	is
4	,
5	when
6	I
7	began
8	traveling
9	for
10	business
11	to
12	New
13	England
14	,
15	when
16	I
17	first
18	visited
19	my
20	in
21	-
22	laws
23	in
24	Montana
25	and
26	Idaho
27	,
28	I
29	was
30	shocked
31	at
32	the
33	lack
34	of
35	racial
36	diversity
37	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	fact	NOUN	3	nsubj
3	is	VERB	0	root
4	,	PUNCT	3	punct
5	when	SCONJ	7	mark
6	I	PRON	7	nsubj
7	began	VERB	30	advcl
8	traveling	VERB	7	xcomp
9	for	ADP	10	case
10	business	NOUN	8	obl
11	to	ADP	13	case
12	New	PROPN	13	compound
13	England	PROPN	8	obl
14	,	PUNCT	7	punct
15	when	SCONJ	18	mark
16	I	PRON	18	nsubj
17	first	ADV	18	advmod
18	visited	VERB	7	advcl
19	my	PRON	22	nmod:poss
20	in	ADJ	22	amod
21	-	PUNCT	22	punct
22	laws	NOUN	18	obj
23	in	ADP	24	case
24	Montana	PROPN	18	obl
25	and	CCONJ	26	cc
26	Idaho	PROPN	24	conj
27	,	PUNCT	30	punct
28	I	PRON	30	nsubj
29	was	AUX	30	cop
30	shocked	ADJ	3	ccomp
31	at	ADP	33	case
32	the	DET	33	det
33	lack	NOUN	30	obl
34	of	ADP	36	case
35	racial	ADJ	36	amod
36	diversity	NOUN	33	nmod
37	.	PUNCT	3	punct