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:
To my friend, thank you for your recommendation... you were true to your words in saying Gerry is a "Saintly Instructor ...Absolutely Simple the Best Instructor and Best Driving school there is!
Postion	Tokenization
1	To
2	my
3	friend
4	,
5	thank
6	you
7	for
8	your
9	recommendation
10	...
11	you
12	were
13	true
14	to
15	your
16	words
17	in
18	saying
19	Gerry
20	is
21	a
22	"
23	Saintly
24	Instructor
25	...
26	Absolutely
27	Simple
28	the
29	Best
30	Instructor
31	and
32	Best
33	Driving
34	school
35	there
36	is
37	!
Position	Tokenization	UPOS	Head	Deprel
1	To	ADP	3	case
2	my	PRON	3	nmod:poss
3	friend	NOUN	5	obl
4	,	PUNCT	5	punct
5	thank	VERB	0	root
6	you	PRON	5	obj
7	for	ADP	9	case
8	your	PRON	9	nmod:poss
9	recommendation	NOUN	5	obl
10	...	PUNCT	5	punct
11	you	PRON	13	nsubj
12	were	AUX	13	cop
13	true	ADJ	9	parataxis
14	to	ADP	16	case
15	your	PRON	16	nmod:poss
16	words	NOUN	13	obl
17	in	SCONJ	18	mark
18	saying	VERB	13	advcl
19	Gerry	PROPN	24	nsubj
20	is	AUX	24	cop
21	a	DET	24	det
22	"	PUNCT	24	punct
23	Saintly	ADJ	24	amod
24	Instructor	NOUN	18	ccomp
25	...	PUNCT	5	punct
26	Absolutely	ADV	27	advmod
27	Simple	ADJ	30	advmod
28	the	DET	30	det
29	Best	ADJ	30	amod
30	Instructor	NOUN	5	parataxis
31	and	CCONJ	34	cc
32	Best	ADJ	34	amod
33	Driving	NOUN	34	compound
34	school	NOUN	30	conj
35	there	PRON	36	expl
36	is	VERB	30	acl:relcl
37	!	PUNCT	30	punct