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:
Emergency teams in the southern US are battling to reach survivors of Hurricane Katrina, the most destructive storm to hit the country in decades.
Postion	Tokenization
1	Emergency
2	teams
3	in
4	the
5	southern
6	US
7	are
8	battling
9	to
10	reach
11	survivors
12	of
13	Hurricane
14	Katrina
15	,
16	the
17	most
18	destructive
19	storm
20	to
21	hit
22	the
23	country
24	in
25	decades
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Emergency	NOUN	2	compound
2	teams	NOUN	8	nsubj
3	in	ADP	6	case
4	the	DET	6	det
5	southern	ADJ	6	amod
6	US	PROPN	2	nmod
7	are	AUX	8	aux
8	battling	VERB	0	root
9	to	PART	10	mark
10	reach	VERB	8	advcl
11	survivors	NOUN	10	obj
12	of	ADP	14	case
13	Hurricane	PROPN	14	compound
14	Katrina	PROPN	11	nmod
15	,	PUNCT	14	punct
16	the	DET	19	det
17	most	ADV	18	advmod
18	destructive	ADJ	19	amod
19	storm	NOUN	14	appos
20	to	PART	21	mark
21	hit	VERB	19	acl
22	the	DET	23	det
23	country	NOUN	21	obj
24	in	ADP	25	case
25	decades	NOUN	21	obl
26	.	PUNCT	8	punct