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:
$ometime$ it is hard to explain that you are making an INTERNATIONAL call and all of the phone companie$involved what $ome of your money.
Postion	Tokenization
1	$ometime$
2	it
3	is
4	hard
5	to
6	explain
7	that
8	you
9	are
10	making
11	an
12	INTERNATIONAL
13	call
14	and
15	all
16	of
17	the
18	phone
19	companie
20	$involved
21	what
22	$ome
23	of
24	your
25	money
26	.
Position	Tokenization	UPOS	Head	Deprel
1	$ometime$	ADV	4	advmod
2	it	PRON	4	expl
3	is	AUX	4	cop
4	hard	ADJ	0	root
5	to	PART	6	mark
6	explain	VERB	4	csubj
7	that	SCONJ	10	mark
8	you	PRON	10	nsubj
9	are	AUX	10	aux
10	making	VERB	6	ccomp
11	an	DET	13	det
12	INTERNATIONAL	ADJ	13	amod
13	call	NOUN	10	obj
14	and	CCONJ	21	cc
15	all	DET	21	nsubj
16	of	ADP	19	case
17	the	DET	19	det
18	phone	NOUN	19	compound
19	companie	NOUN	15	nmod
20	$involved	VERB	19	acl
21	what	VERB	10	conj
22	$ome	DET	21	obj
23	of	ADP	25	case
24	your	PRON	25	nmod:poss
25	money	NOUN	22	nmod
26	.	PUNCT	4	punct