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:
Harrison County in Mississippi bore the brunt of Hurricane Katrina as it slammed into Biloxi and Gulfport before heading inland.
Postion	Tokenization
1	Harrison
2	County
3	in
4	Mississippi
5	bore
6	the
7	brunt
8	of
9	Hurricane
10	Katrina
11	as
12	it
13	slammed
14	into
15	Biloxi
16	and
17	Gulfport
18	before
19	heading
20	inland
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Harrison	PROPN	2	compound
2	County	PROPN	5	nsubj
3	in	ADP	4	case
4	Mississippi	PROPN	2	nmod
5	bore	VERB	0	root
6	the	DET	7	det
7	brunt	NOUN	5	obj
8	of	ADP	10	case
9	Hurricane	PROPN	10	compound
10	Katrina	PROPN	7	nmod
11	as	SCONJ	13	mark
12	it	PRON	13	nsubj
13	slammed	VERB	5	advcl
14	into	ADP	15	case
15	Biloxi	PROPN	13	obl
16	and	CCONJ	17	cc
17	Gulfport	PROPN	15	conj
18	before	SCONJ	19	mark
19	heading	VERB	13	advcl
20	inland	ADV	19	advmod
21	.	PUNCT	5	punct