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 had to cancel my initial lesson 4 times and on the 5th attempt the management was quick enough to associate my cancellations with my fear and finally encouraged me into taking my initial lesson.
Postion	Tokenization
1	I
2	had
3	to
4	cancel
5	my
6	initial
7	lesson
8	4
9	times
10	and
11	on
12	the
13	5th
14	attempt
15	the
16	management
17	was
18	quick
19	enough
20	to
21	associate
22	my
23	cancellations
24	with
25	my
26	fear
27	and
28	finally
29	encouraged
30	me
31	into
32	taking
33	my
34	initial
35	lesson
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	had	VERB	0	root
3	to	PART	4	mark
4	cancel	VERB	2	xcomp
5	my	PRON	7	nmod:poss
6	initial	ADJ	7	amod
7	lesson	NOUN	4	obj
8	4	NUM	9	nummod
9	times	NOUN	4	obl:tmod
10	and	CCONJ	18	cc
11	on	ADP	14	case
12	the	DET	14	det
13	5th	ADJ	14	amod
14	attempt	NOUN	18	obl
15	the	DET	16	det
16	management	NOUN	18	nsubj
17	was	AUX	18	cop
18	quick	ADJ	2	conj
19	enough	ADV	18	advmod
20	to	PART	21	mark
21	associate	VERB	18	advcl
22	my	PRON	23	nmod:poss
23	cancellations	NOUN	21	obj
24	with	ADP	26	case
25	my	PRON	26	nmod:poss
26	fear	NOUN	21	obl
27	and	CCONJ	29	cc
28	finally	ADV	29	advmod
29	encouraged	VERB	18	conj
30	me	PRON	29	obj
31	into	SCONJ	32	mark
32	taking	VERB	29	advcl
33	my	PRON	35	nmod:poss
34	initial	ADJ	35	amod
35	lesson	NOUN	32	obj
36	.	PUNCT	2	punct