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 don't want to waste my time on routes set for children, but I don't want to take on something I can't handle just to strain myself to exhaustion.
Postion	Tokenization
1	I
2	don't
3	do
4	n't
5	want
6	to
7	waste
8	my
9	time
10	on
11	routes
12	set
13	for
14	children
15	,
16	but
17	I
18	don't
19	do
20	n't
21	want
22	to
23	take
24	on
25	something
26	I
27	can't
28	ca
29	n't
30	handle
31	just
32	to
33	strain
34	myself
35	to
36	exhaustion
37	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	don't	_	None	_
3	do	AUX	4	aux
4	n't	PART	4	advmod
5	want	VERB	0	root
6	to	PART	6	mark
7	waste	VERB	4	xcomp
8	my	PRON	8	nmod:poss
9	time	NOUN	6	obj
10	on	ADP	10	case
11	routes	NOUN	6	obl
12	set	VERB	10	acl
13	for	ADP	13	case
14	children	NOUN	11	obl
15	,	PUNCT	19	punct
16	but	CCONJ	19	cc
17	I	PRON	19	nsubj
18	don't	_	None	_
19	do	AUX	19	aux
20	n't	PART	19	advmod
21	want	VERB	4	conj
22	to	PART	21	mark
23	take	VERB	19	xcomp
24	on	ADP	21	compound:prt
25	something	PRON	21	obj
26	I	PRON	27	nsubj
27	can't	_	None	_
28	ca	AUX	27	aux
29	n't	PART	27	advmod
30	handle	VERB	23	acl:relcl
31	just	ADV	30	advmod
32	to	PART	30	mark
33	strain	VERB	21	advcl
34	myself	PRON	30	obj
35	to	ADP	33	case
36	exhaustion	NOUN	30	obl
37	.	PUNCT	4	punct