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:
In Biloxi, 30 people were reported dead in one block of flats which was hit by a 9m (30ft) "storm surge".
Postion	Tokenization
1	In
2	Biloxi
3	,
4	30
5	people
6	were
7	reported
8	dead
9	in
10	one
11	block
12	of
13	flats
14	which
15	was
16	hit
17	by
18	a
19	9
20	m
21	(
22	30
23	ft
24	)
25	"
26	storm
27	surge
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	Biloxi	PROPN	7	obl
3	,	PUNCT	7	punct
4	30	NUM	5	nummod
5	people	NOUN	7	nsubj:pass
6	were	AUX	7	aux:pass
7	reported	VERB	0	root
8	dead	ADJ	7	xcomp
9	in	ADP	11	case
10	one	NUM	11	nummod
11	block	NOUN	7	obl
12	of	ADP	13	case
13	flats	NOUN	11	nmod
14	which	PRON	16	nsubj:pass
15	was	AUX	16	aux:pass
16	hit	VERB	11	acl:relcl
17	by	ADP	27	case
18	a	DET	27	det
19	9	NUM	20	nummod
20	m	NOUN	27	compound
21	(	PUNCT	23	punct
22	30	NUM	23	nummod
23	ft	NOUN	20	appos
24	)	PUNCT	23	punct
25	"	PUNCT	27	punct
26	storm	NOUN	27	compound
27	surge	NOUN	16	obl
28	"	PUNCT	27	punct
29	.	PUNCT	7	punct