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:
Mike one of owners was awesome, he explained the detailed plan, and executed on time, I am always going use them and refer them to many friends I can because of the great job they did me.
Postion	Tokenization
1	Mike
2	one
3	of
4	owners
5	was
6	awesome
7	,
8	he
9	explained
10	the
11	detailed
12	plan
13	,
14	and
15	executed
16	on
17	time
18	,
19	I
20	am
21	always
22	going
23	use
24	them
25	and
26	refer
27	them
28	to
29	many
30	friends
31	I
32	can
33	because
34	of
35	the
36	great
37	job
38	they
39	did
40	me
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Mike	PROPN	6	nsubj
2	one	NUM	1	appos
3	of	ADP	4	case
4	owners	NOUN	2	nmod
5	was	AUX	6	cop
6	awesome	ADJ	0	root
7	,	PUNCT	6	punct
8	he	PRON	9	nsubj
9	explained	VERB	6	parataxis
10	the	DET	12	det
11	detailed	ADJ	12	amod
12	plan	NOUN	9	obj
13	,	PUNCT	15	punct
14	and	CCONJ	15	cc
15	executed	VERB	9	conj
16	on	ADP	17	case
17	time	NOUN	15	obl
18	,	PUNCT	6	punct
19	I	PRON	22	nsubj
20	am	AUX	22	aux
21	always	ADV	22	advmod
22	going	VERB	6	ccomp
23	use	VERB	22	parataxis
24	them	PRON	23	obj
25	and	CCONJ	26	cc
26	refer	VERB	23	conj
27	them	PRON	26	obj
28	to	ADP	30	case
29	many	ADJ	30	amod
30	friends	NOUN	26	obl
31	I	PRON	32	nsubj
32	can	AUX	30	acl:relcl
33	because	ADP	37	case
34	of	ADP	33	fixed
35	the	DET	37	det
36	great	ADJ	37	amod
37	job	NOUN	26	obl
38	they	PRON	39	nsubj
39	did	VERB	37	acl:relcl
40	me	PRON	39	obj
41	.	PUNCT	6	punct