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:
I called dominos tonight, it rang forever, I get put on hold twice without saying a word and FINALLY someone says, MAY I HELP YOU?
Postion	Tokenization
1	I
2	called
3	dominos
4	tonight
5	,
6	it
7	rang
8	forever
9	,
10	I
11	get
12	put
13	on
14	hold
15	twice
16	without
17	saying
18	a
19	word
20	and
21	FINALLY
22	someone
23	says
24	,
25	MAY
26	I
27	HELP
28	YOU
29	?
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	called	VERB	0	root
3	dominos	PROPN	2	obj
4	tonight	NOUN	2	obl:tmod
5	,	PUNCT	7	punct
6	it	PRON	7	nsubj
7	rang	VERB	2	conj
8	forever	ADV	7	advmod
9	,	PUNCT	12	punct
10	I	PRON	12	nsubj:pass
11	get	AUX	12	aux:pass
12	put	VERB	2	conj
13	on	ADP	14	case
14	hold	NOUN	12	obl
15	twice	ADV	12	advmod
16	without	SCONJ	17	mark
17	saying	VERB	12	advcl
18	a	DET	19	det
19	word	NOUN	17	obj
20	and	CCONJ	23	cc
21	FINALLY	ADV	23	advmod
22	someone	PRON	23	nsubj
23	says	VERB	2	conj
24	,	PUNCT	23	punct
25	MAY	AUX	27	aux
26	I	PRON	27	nsubj
27	HELP	VERB	23	ccomp
28	YOU	PRON	27	obj
29	?	PUNCT	2	punct