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:
It's really cool that so many local businesses are found so quickly in one place and I want to spread the word.
Postion	Tokenization
1	It's
2	It
3	's
4	really
5	cool
6	that
7	so
8	many
9	local
10	businesses
11	are
12	found
13	so
14	quickly
15	in
16	one
17	place
18	and
19	I
20	want
21	to
22	spread
23	the
24	word
25	.
Position	Tokenization	UPOS	Head	Deprel
1	It's	_	None	_
2	It	PRON	4	expl
3	's	AUX	4	cop
4	really	ADV	4	advmod
5	cool	ADJ	0	root
6	that	SCONJ	11	mark
7	so	ADV	7	advmod
8	many	ADJ	9	amod
9	local	ADJ	9	amod
10	businesses	NOUN	11	nsubj:pass
11	are	AUX	11	aux:pass
12	found	VERB	4	csubj
13	so	ADV	13	advmod
14	quickly	ADV	11	advmod
15	in	ADP	16	case
16	one	NUM	16	nummod
17	place	NOUN	11	obl
18	and	CCONJ	19	cc
19	I	PRON	19	nsubj
20	want	VERB	4	conj
21	to	PART	21	mark
22	spread	VERB	19	xcomp
23	the	DET	23	det
24	word	NOUN	21	obj
25	.	PUNCT	4	punct