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:
New Orleans mayor Ray Nagin said up to 80% of the city was submerged, in some cases by waters 6m (20ft) deep.
Postion	Tokenization
1	New
2	Orleans
3	mayor
4	Ray
5	Nagin
6	said
7	up
8	to
9	80
10	%
11	of
12	the
13	city
14	was
15	submerged
16	,
17	in
18	some
19	cases
20	by
21	waters
22	6
23	m
24	(
25	20
26	ft
27	)
28	deep
29	.
Position	Tokenization	UPOS	Head	Deprel
1	New	PROPN	2	compound
2	Orleans	PROPN	3	compound
3	mayor	NOUN	4	compound
4	Ray	PROPN	6	nsubj
5	Nagin	PROPN	4	flat
6	said	VERB	0	root
7	up	ADP	9	advmod
8	to	ADP	7	fixed
9	80	NUM	10	nummod
10	%	SYM	15	nsubj:pass
11	of	ADP	13	case
12	the	DET	13	det
13	city	NOUN	10	nmod
14	was	AUX	15	aux:pass
15	submerged	VERB	6	ccomp
16	,	PUNCT	15	punct
17	in	ADP	19	case
18	some	DET	19	det
19	cases	NOUN	21	nmod
20	by	ADP	21	case
21	waters	NOUN	15	obl
22	6	NUM	23	nummod
23	m	NOUN	28	obl:npmod
24	(	PUNCT	26	punct
25	20	NUM	26	nummod
26	ft	NOUN	23	appos
27	)	PUNCT	26	punct
28	deep	ADJ	21	amod
29	.	PUNCT	6	punct