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 company gets busy but you never have to wait long because they ARE orginizied, so you are in, out, and paid well for your scrap
Postion	Tokenization
1	The
2	company
3	gets
4	busy
5	but
6	you
7	never
8	have
9	to
10	wait
11	long
12	because
13	they
14	ARE
15	orginizied
16	,
17	so
18	you
19	are
20	in
21	,
22	out
23	,
24	and
25	paid
26	well
27	for
28	your
29	scrap
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	company	NOUN	4	nsubj
3	gets	VERB	4	aux
4	busy	ADJ	0	root
5	but	CCONJ	8	cc
6	you	PRON	8	nsubj
7	never	ADV	8	advmod
8	have	VERB	4	conj
9	to	PART	10	mark
10	wait	VERB	8	xcomp
11	long	ADV	10	advmod
12	because	SCONJ	15	mark
13	they	PRON	15	nsubj
14	ARE	AUX	15	cop
15	orginizied	ADJ	8	advcl
16	,	PUNCT	15	punct
17	so	ADV	19	advmod
18	you	PRON	19	nsubj
19	are	VERB	15	advcl
20	in	ADV	19	advmod
21	,	PUNCT	22	punct
22	out	ADV	20	conj
23	,	PUNCT	25	punct
24	and	CCONJ	25	cc
25	paid	VERB	20	conj
26	well	ADV	25	advmod
27	for	ADP	29	case
28	your	PRON	29	nmod:poss
29	scrap	NOUN	25	obl