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:
I found this on a bulletin board and decided to try it: I don't care about the useless pre-fabricated crap this message usually says.
Postion	Tokenization
1	I
2	found
3	this
4	on
5	a
6	bulletin
7	board
8	and
9	decided
10	to
11	try
12	it
13	:
14	I
15	don't
16	do
17	n't
18	care
19	about
20	the
21	useless
22	pre-fabricated
23	crap
24	this
25	message
26	usually
27	says
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	found	VERB	0	root
3	this	PRON	2	obj
4	on	ADP	7	case
5	a	DET	7	det
6	bulletin	NOUN	7	compound
7	board	NOUN	2	obl
8	and	CCONJ	9	cc
9	decided	VERB	2	conj
10	to	PART	11	mark
11	try	VERB	9	xcomp
12	it	PRON	11	obj
13	:	PUNCT	2	punct
14	I	PRON	17	nsubj
15	don't	_	None	_
16	do	AUX	17	aux
17	n't	PART	17	advmod
18	care	VERB	2	parataxis
19	about	ADP	22	case
20	the	DET	22	det
21	useless	ADJ	22	amod
22	pre-fabricated	ADJ	22	amod
23	crap	NOUN	17	obl
24	this	DET	24	det
25	message	NOUN	26	nsubj
26	usually	ADV	26	advmod
27	says	VERB	22	acl:relcl
28	.	PUNCT	2	punct