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:
and it will be fun 2 days cause you will busy going to a lot of beautiful places, i can afford to go so be happy you have the money to go. :D
Postion	Tokenization
1	and
2	it
3	will
4	be
5	fun
6	2
7	days
8	cause
9	you
10	will
11	busy
12	going
13	to
14	a
15	lot
16	of
17	beautiful
18	places
19	,
20	i
21	can
22	afford
23	to
24	go
25	so
26	be
27	happy
28	you
29	have
30	the
31	money
32	to
33	go
34	.
35	:D
Position	Tokenization	UPOS	Head	Deprel
1	and	CCONJ	7	cc
2	it	PRON	7	nsubj
3	will	AUX	7	aux
4	be	AUX	7	cop
5	fun	ADJ	7	amod
6	2	NUM	7	nummod
7	days	NOUN	0	root
8	cause	SCONJ	11	mark
9	you	PRON	11	nsubj
10	will	AUX	11	aux
11	busy	ADJ	7	advcl
12	going	VERB	11	advcl
13	to	ADP	15	case
14	a	DET	15	det
15	lot	NOUN	12	obl
16	of	ADP	18	case
17	beautiful	ADJ	18	amod
18	places	NOUN	15	nmod
19	,	PUNCT	7	punct
20	i	PRON	22	nsubj
21	can	AUX	22	aux
22	afford	VERB	7	parataxis
23	to	PART	24	mark
24	go	VERB	22	xcomp
25	so	ADV	27	advmod
26	be	AUX	27	cop
27	happy	ADJ	22	parataxis
28	you	PRON	29	nsubj
29	have	VERB	27	ccomp
30	the	DET	31	det
31	money	NOUN	29	obj
32	to	PART	33	mark
33	go	VERB	31	acl
34	.	PUNCT	7	punct
35	:D	SYM	7	discourse