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:
It's important that you take retreats and plenty of time for yourself to regenerate, as the rate of change in your personal and professional life will be fast and unpredictable.
Postion	Tokenization
1	It's
2	It
3	's
4	important
5	that
6	you
7	take
8	retreats
9	and
10	plenty
11	of
12	time
13	for
14	yourself
15	to
16	regenerate
17	,
18	as
19	the
20	rate
21	of
22	change
23	in
24	your
25	personal
26	and
27	professional
28	life
29	will
30	be
31	fast
32	and
33	unpredictable
34	.
Position	Tokenization	UPOS	Head	Deprel
1	It's	_	None	_
2	It	PRON	3	expl
3	's	AUX	3	cop
4	important	ADJ	0	root
5	that	SCONJ	6	mark
6	you	PRON	6	nsubj
7	take	VERB	3	csubj
8	retreats	NOUN	6	obj
9	and	CCONJ	9	cc
10	plenty	NOUN	7	conj
11	of	ADP	11	case
12	time	NOUN	9	nmod
13	for	ADP	13	case
14	yourself	PRON	11	nmod
15	to	PART	15	mark
16	regenerate	VERB	6	advcl
17	,	PUNCT	6	punct
18	as	SCONJ	30	mark
19	the	DET	19	det
20	rate	NOUN	30	nsubj
21	of	ADP	21	case
22	change	NOUN	19	nmod
23	in	ADP	27	case
24	your	PRON	27	nmod:poss
25	personal	ADJ	27	amod
26	and	CCONJ	26	cc
27	professional	ADJ	24	conj
28	life	NOUN	19	nmod
29	will	AUX	30	aux
30	be	AUX	30	cop
31	fast	ADJ	6	advcl
32	and	CCONJ	32	cc
33	unpredictable	ADJ	30	conj
34	.	PUNCT	3	punct