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 grew up in a small town where you knew and trusted your mechanic and was really cynical about city auto repair shops since I moved here, but Phet has shown that there really are honest hard working mechanics around.
Postion	Tokenization
1	I
2	grew
3	up
4	in
5	a
6	small
7	town
8	where
9	you
10	knew
11	and
12	trusted
13	your
14	mechanic
15	and
16	was
17	really
18	cynical
19	about
20	city
21	auto
22	repair
23	shops
24	since
25	I
26	moved
27	here
28	,
29	but
30	Phet
31	has
32	shown
33	that
34	there
35	really
36	are
37	honest
38	hard
39	working
40	mechanics
41	around
42	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	grew	VERB	0	root
3	up	ADP	2	compound:prt
4	in	ADP	7	case
5	a	DET	7	det
6	small	ADJ	7	amod
7	town	NOUN	2	obl
8	where	SCONJ	10	mark
9	you	PRON	10	nsubj
10	knew	VERB	7	acl:relcl
11	and	CCONJ	12	cc
12	trusted	VERB	10	conj
13	your	PRON	14	nmod:poss
14	mechanic	NOUN	10	obj
15	and	CCONJ	18	cc
16	was	AUX	18	cop
17	really	ADV	18	advmod
18	cynical	ADJ	2	conj
19	about	ADP	23	case
20	city	NOUN	23	compound
21	auto	NOUN	22	compound
22	repair	NOUN	23	compound
23	shops	NOUN	18	obl
24	since	SCONJ	26	mark
25	I	PRON	26	nsubj
26	moved	VERB	18	advcl
27	here	ADV	26	advmod
28	,	PUNCT	32	punct
29	but	CCONJ	32	cc
30	Phet	PROPN	32	nsubj
31	has	AUX	32	aux
32	shown	VERB	2	conj
33	that	SCONJ	36	mark
34	there	PRON	36	expl
35	really	ADV	36	advmod
36	are	VERB	32	ccomp
37	honest	ADJ	40	amod
38	hard	ADV	39	compound
39	working	VERB	40	amod
40	mechanics	NOUN	36	nsubj
41	around	ADV	36	advmod
42	.	PUNCT	2	punct