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:
If you get a good wife, you'll become happy; if you get a bad one, you'll become a philosopher.
Postion	Tokenization
1	If
2	you
3	get
4	a
5	good
6	wife
7	,
8	you'll
9	you
10	'll
11	become
12	happy
13	;
14	if
15	you
16	get
17	a
18	bad
19	one
20	,
21	you'll
22	you
23	'll
24	become
25	a
26	philosopher
27	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	get	VERB	10	advcl
4	a	DET	6	det
5	good	ADJ	6	amod
6	wife	NOUN	3	obj
7	,	PUNCT	10	punct
8	you'll	_	None	_
9	you	PRON	10	nsubj
10	'll	AUX	10	aux
11	become	VERB	0	root
12	happy	ADJ	10	xcomp
13	;	PUNCT	11	punct
14	if	SCONJ	15	mark
15	you	PRON	15	nsubj
16	get	VERB	22	advcl
17	a	DET	18	det
18	bad	ADJ	18	amod
19	one	NOUN	15	obj
20	,	PUNCT	22	punct
21	you'll	_	None	_
22	you	PRON	22	nsubj
23	'll	AUX	22	aux
24	become	VERB	11	parataxis
25	a	DET	24	det
26	philosopher	NOUN	22	xcomp
27	.	PUNCT	11	punct