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:
You'll be making radical changes in your work habits, but you'll be a lot happier for it, and in the end you'll know it was worth it.
Postion	Tokenization
1	You'll
2	You
3	'll
4	be
5	making
6	radical
7	changes
8	in
9	your
10	work
11	habits
12	,
13	but
14	you'll
15	you
16	'll
17	be
18	a
19	lot
20	happier
21	for
22	it
23	,
24	and
25	in
26	the
27	end
28	you'll
29	you
30	'll
31	know
32	it
33	was
34	worth
35	it
36	.
Position	Tokenization	UPOS	Head	Deprel
1	You'll	_	None	_
2	You	PRON	4	nsubj
3	'll	AUX	4	aux
4	be	AUX	4	aux
5	making	VERB	0	root
6	radical	ADJ	6	amod
7	changes	NOUN	4	obj
8	in	ADP	10	case
9	your	PRON	10	nmod:poss
10	work	NOUN	10	compound
11	habits	NOUN	6	nmod
12	,	PUNCT	18	punct
13	but	CCONJ	18	cc
14	you'll	_	None	_
15	you	PRON	18	nsubj
16	'll	AUX	18	aux
17	be	AUX	18	cop
18	a	DET	17	det
19	lot	NOUN	18	obl:npmod
20	happier	ADJ	4	conj
21	for	ADP	20	case
22	it	PRON	18	obl
23	,	PUNCT	28	punct
24	and	CCONJ	28	cc
25	in	ADP	25	case
26	the	DET	25	det
27	end	NOUN	28	obl
28	you'll	_	None	_
29	you	PRON	28	nsubj
30	'll	AUX	28	aux
31	know	VERB	18	conj
32	it	PRON	31	nsubj
33	was	AUX	31	cop
34	worth	ADJ	28	ccomp
35	it	PRON	31	obj
36	.	PUNCT	4	punct