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:
While this is most apparent in the area of your career, you'll see it showing up in other important aspects of your life.
Postion	Tokenization
1	While
2	this
3	is
4	most
5	apparent
6	in
7	the
8	area
9	of
10	your
11	career
12	,
13	you'll
14	you
15	'll
16	see
17	it
18	showing
19	up
20	in
21	other
22	important
23	aspects
24	of
25	your
26	life
27	.
Position	Tokenization	UPOS	Head	Deprel
1	While	SCONJ	5	mark
2	this	PRON	5	nsubj
3	is	AUX	5	cop
4	most	ADV	5	advmod
5	apparent	ADJ	15	advcl
6	in	ADP	8	case
7	the	DET	8	det
8	area	NOUN	5	obl
9	of	ADP	11	case
10	your	PRON	11	nmod:poss
11	career	NOUN	8	nmod
12	,	PUNCT	15	punct
13	you'll	_	None	_
14	you	PRON	15	nsubj
15	'll	AUX	15	aux
16	see	VERB	0	root
17	it	PRON	15	obj
18	showing	VERB	16	advcl
19	up	ADP	17	compound:prt
20	in	ADP	22	case
21	other	ADJ	22	amod
22	important	ADJ	22	amod
23	aspects	NOUN	17	obl
24	of	ADP	25	case
25	your	PRON	25	nmod:poss
26	life	NOUN	22	nmod
27	.	PUNCT	15	punct