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:
Tangipahoa Parish sheriff's deputy Christopher Blair Labat, 24, was booked Tuesday on one count of aggravated rape and one count of crime against nature.
Postion	Tokenization
1	Tangipahoa
2	Parish
3	sheriff's
4	sheriff
5	's
6	deputy
7	Christopher
8	Blair
9	Labat
10	,
11	24
12	,
13	was
14	booked
15	Tuesday
16	on
17	one
18	count
19	of
20	aggravated
21	rape
22	and
23	one
24	count
25	of
26	crime
27	against
28	nature
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tangipahoa	PROPN	2	compound
2	Parish	PROPN	3	compound
3	sheriff's	_	None	_
4	sheriff	NOUN	5	nmod:poss
5	's	PART	3	case
6	deputy	NOUN	6	compound
7	Christopher	PROPN	13	nsubj:pass
8	Blair	PROPN	6	flat
9	Labat	PROPN	6	flat
10	,	PUNCT	6	punct
11	24	NUM	6	amod
12	,	PUNCT	13	punct
13	was	AUX	13	aux:pass
14	booked	VERB	0	root
15	Tuesday	PROPN	13	obl:tmod
16	on	ADP	17	case
17	one	NUM	17	nummod
18	count	NOUN	13	obl
19	of	ADP	20	case
20	aggravated	VERB	20	amod
21	rape	NOUN	17	nmod
22	and	CCONJ	23	cc
23	one	NUM	23	nummod
24	count	NOUN	17	conj
25	of	ADP	25	case
26	crime	NOUN	23	nmod
27	against	ADP	27	case
28	nature	NOUN	25	nmod
29	.	PUNCT	13	punct