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:
When the guys arrived (2 hours later than agreed) they told that you have to pay all the tolls they payed coming from Brooklyn and extra $100 for them to drive back from your destination.
Postion	Tokenization
1	When
2	the
3	guys
4	arrived
5	(
6	2
7	hours
8	later
9	than
10	agreed
11	)
12	they
13	told
14	that
15	you
16	have
17	to
18	pay
19	all
20	the
21	tolls
22	they
23	payed
24	coming
25	from
26	Brooklyn
27	and
28	extra
29	$
30	100
31	for
32	them
33	to
34	drive
35	back
36	from
37	your
38	destination
39	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	4	mark
2	the	DET	3	det
3	guys	NOUN	4	nsubj
4	arrived	VERB	13	advcl
5	(	PUNCT	8	punct
6	2	NUM	7	nummod
7	hours	NOUN	8	obl:npmod
8	later	ADV	4	advmod
9	than	SCONJ	10	mark
10	agreed	VERB	8	advcl
11	)	PUNCT	8	punct
12	they	PRON	13	nsubj
13	told	VERB	0	root
14	that	SCONJ	16	mark
15	you	PRON	16	nsubj
16	have	VERB	13	ccomp
17	to	PART	18	mark
18	pay	VERB	16	xcomp
19	all	DET	21	det:predet
20	the	DET	21	det
21	tolls	NOUN	18	obj
22	they	PRON	23	nsubj
23	payed	VERB	21	acl:relcl
24	coming	VERB	23	advcl
25	from	ADP	26	case
26	Brooklyn	PROPN	24	obl
27	and	CCONJ	29	cc
28	extra	ADJ	29	amod
29	$	SYM	21	conj
30	100	NUM	29	nummod
31	for	SCONJ	34	mark
32	them	PRON	34	nsubj
33	to	PART	34	mark
34	drive	VERB	29	advcl
35	back	ADV	34	advmod
36	from	ADP	38	case
37	your	PRON	38	nmod:poss
38	destination	NOUN	35	obl
39	.	PUNCT	13	punct