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:
Its Really Good And The Rat Calculater Says Is Big Enough For 5 Rats, But I Would Put A Maximum Of 4 In It Really :)
Postion	Tokenization
1	Its
2	It
3	s
4	Really
5	Good
6	And
7	The
8	Rat
9	Calculater
10	Says
11	Is
12	Big
13	Enough
14	For
15	5
16	Rats
17	,
18	But
19	I
20	Would
21	Put
22	A
23	Maximum
24	Of
25	4
26	In
27	It
28	Really
29	:)
Position	Tokenization	UPOS	Head	Deprel
1	Its	_	None	_
2	It	PRON	4	nsubj
3	s	AUX	4	cop
4	Really	ADV	4	advmod
5	Good	ADJ	0	root
6	And	CCONJ	9	cc
7	The	DET	8	det
8	Rat	PROPN	8	compound
9	Calculater	NOUN	9	nsubj
10	Says	VERB	4	conj
11	Is	AUX	12	cop
12	Big	ADJ	12	amod
13	Enough	ADJ	9	ccomp
14	For	ADP	15	case
15	5	NUM	15	nummod
16	Rats	NOUN	12	obl
17	,	PUNCT	20	punct
18	But	CCONJ	20	cc
19	I	PRON	20	nsubj
20	Would	AUX	20	aux
21	Put	VERB	4	conj
22	A	DET	22	det
23	Maximum	NOUN	20	obj
24	Of	ADP	24	case
25	4	NUM	22	nmod
26	In	ADP	26	case
27	It	PRON	20	obl
28	Really	ADV	20	advmod
29	:)	SYM	4	discourse