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:
She highly recommended him and described him as the "Saintly Instructor and Simply the Best Instructor there is ....very calm, pleasant and very detailed in giving instructions".
Postion	Tokenization
1	She
2	highly
3	recommended
4	him
5	and
6	described
7	him
8	as
9	the
10	"
11	Saintly
12	Instructor
13	and
14	Simply
15	the
16	Best
17	Instructor
18	there
19	is
20	....
21	very
22	calm
23	,
24	pleasant
25	and
26	very
27	detailed
28	in
29	giving
30	instructions
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	She	PRON	3	nsubj
2	highly	ADV	3	advmod
3	recommended	VERB	0	root
4	him	PRON	3	obj
5	and	CCONJ	6	cc
6	described	VERB	3	conj
7	him	PRON	6	obj
8	as	ADP	12	case
9	the	DET	12	det
10	"	PUNCT	12	punct
11	Saintly	ADJ	12	amod
12	Instructor	NOUN	6	obl
13	and	CCONJ	17	cc
14	Simply	ADV	17	advmod
15	the	DET	17	det
16	Best	ADJ	17	amod
17	Instructor	NOUN	12	conj
18	there	PRON	19	expl
19	is	VERB	17	acl:relcl
20	....	PUNCT	22	punct
21	very	ADV	24	advmod
22	calm	ADJ	3	parataxis
23	,	PUNCT	24	punct
24	pleasant	ADJ	22	conj
25	and	CCONJ	27	cc
26	very	ADV	27	advmod
27	detailed	ADJ	22	conj
28	in	SCONJ	29	mark
29	giving	VERB	27	advcl
30	instructions	NOUN	29	obj
31	"	PUNCT	24	punct
32	.	PUNCT	24	punct