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:
Midas has the most high tech equipment in town & I guarantee you if they told you it was electrical then in deed its electrical!
Postion	Tokenization
1	Midas
2	has
3	the
4	most
5	high
6	tech
7	equipment
8	in
9	town
10	&
11	I
12	guarantee
13	you
14	if
15	they
16	told
17	you
18	it
19	was
20	electrical
21	then
22	in
23	deed
24	its
25	it
26	s
27	electrical
28	!
Position	Tokenization	UPOS	Head	Deprel
1	Midas	PROPN	2	nsubj
2	has	VERB	0	root
3	the	DET	7	det
4	most	ADV	6	advmod
5	high	ADJ	6	compound
6	tech	NOUN	7	amod
7	equipment	NOUN	2	obj
8	in	ADP	9	case
9	town	NOUN	7	nmod
10	&	CCONJ	12	cc
11	I	PRON	12	nsubj
12	guarantee	VERB	2	conj
13	you	PRON	12	obj
14	if	SCONJ	16	mark
15	they	PRON	16	nsubj
16	told	VERB	26	advcl
17	you	PRON	16	obj
18	it	PRON	20	nsubj
19	was	AUX	20	cop
20	electrical	ADJ	16	ccomp
21	then	ADV	26	advmod
22	in	X	26	advmod
23	deed	ADV	22	goeswith
24	its	_	None	_
25	it	PRON	26	nsubj
26	s	AUX	26	cop
27	electrical	ADJ	12	ccomp
28	!	PUNCT	2	punct