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:
Relief agencies are trying to help hundreds of thousands of displaced people while authorities have vowed to restore security in New Orleans following a breakdown of law and order.
Postion	Tokenization
1	Relief
2	agencies
3	are
4	trying
5	to
6	help
7	hundreds
8	of
9	thousands
10	of
11	displaced
12	people
13	while
14	authorities
15	have
16	vowed
17	to
18	restore
19	security
20	in
21	New
22	Orleans
23	following
24	a
25	breakdown
26	of
27	law
28	and
29	order
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Relief	NOUN	2	compound
2	agencies	NOUN	4	nsubj
3	are	AUX	4	aux
4	trying	VERB	0	root
5	to	PART	6	mark
6	help	VERB	4	xcomp
7	hundreds	NOUN	6	obj
8	of	ADP	9	case
9	thousands	NOUN	7	nmod
10	of	ADP	12	case
11	displaced	VERB	12	amod
12	people	NOUN	9	nmod
13	while	SCONJ	16	mark
14	authorities	NOUN	16	nsubj
15	have	AUX	16	aux
16	vowed	VERB	4	advcl
17	to	PART	18	mark
18	restore	VERB	16	xcomp
19	security	NOUN	18	obj
20	in	ADP	22	case
21	New	PROPN	22	compound
22	Orleans	PROPN	18	obl
23	following	VERB	25	case
24	a	DET	25	det
25	breakdown	NOUN	18	obl
26	of	ADP	27	case
27	law	NOUN	25	nmod
28	and	CCONJ	29	cc
29	order	NOUN	27	conj
30	.	PUNCT	4	punct