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:
The one department of life that may not quite be as hopeful as you'd like could be your career, where advancement may be slow and satisfaction rare.
Postion	Tokenization
1	The
2	one
3	department
4	of
5	life
6	that
7	may
8	not
9	quite
10	be
11	as
12	hopeful
13	as
14	you'd
15	you
16	'd
17	like
18	could
19	be
20	your
21	career
22	,
23	where
24	advancement
25	may
26	be
27	slow
28	and
29	satisfaction
30	rare
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	one	NUM	3	nummod
3	department	NOUN	20	nsubj
4	of	ADP	5	case
5	life	NOUN	3	nmod
6	that	PRON	12	nsubj
7	may	AUX	12	aux
8	not	PART	12	advmod
9	quite	ADV	12	advmod
10	be	AUX	12	cop
11	as	ADV	12	advmod
12	hopeful	ADJ	3	acl:relcl
13	as	SCONJ	16	mark
14	you'd	_	None	_
15	you	PRON	16	nsubj
16	'd	AUX	16	aux
17	like	VERB	12	ccomp
18	could	AUX	20	aux
19	be	AUX	20	cop
20	your	PRON	20	nmod:poss
21	career	NOUN	0	root
22	,	PUNCT	20	punct
23	where	SCONJ	26	mark
24	advancement	NOUN	26	nsubj
25	may	AUX	26	aux
26	be	AUX	26	cop
27	slow	ADJ	20	acl:relcl
28	and	CCONJ	29	cc
29	satisfaction	NOUN	29	nsubj
30	rare	ADJ	26	conj
31	.	PUNCT	20	punct