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:
This is the year you'll want to take stock of your career and ask yourself if you're doing the work you want to do for the rest of your life.
Postion	Tokenization
1	This
2	is
3	the
4	year
5	you'll
6	you
7	'll
8	want
9	to
10	take
11	stock
12	of
13	your
14	career
15	and
16	ask
17	yourself
18	if
19	you're
20	you
21	're
22	doing
23	the
24	work
25	you
26	want
27	to
28	do
29	for
30	the
31	rest
32	of
33	your
34	life
35	.
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	4	nsubj
2	is	AUX	4	cop
3	the	DET	4	det
4	year	NOUN	0	root
5	you'll	_	None	_
6	you	PRON	7	nsubj
7	'll	AUX	7	aux
8	want	VERB	4	acl:relcl
9	to	PART	9	mark
10	take	VERB	7	xcomp
11	stock	NOUN	9	obj
12	of	ADP	13	case
13	your	PRON	13	nmod:poss
14	career	NOUN	9	obl
15	and	CCONJ	15	cc
16	ask	VERB	9	conj
17	yourself	PRON	15	obj
18	if	SCONJ	20	mark
19	you're	_	None	_
20	you	PRON	20	nsubj
21	're	AUX	20	aux
22	doing	VERB	15	advcl
23	the	DET	22	det
24	work	NOUN	20	obj
25	you	PRON	24	nsubj
26	want	VERB	22	acl:relcl
27	to	PART	26	mark
28	do	VERB	24	xcomp
29	for	ADP	29	case
30	the	DET	29	det
31	rest	NOUN	26	obl
32	of	ADP	32	case
33	your	PRON	32	nmod:poss
34	life	NOUN	29	nmod
35	.	PUNCT	4	punct