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:
What I heard was the Mayor of New Orleans, saying that he didn't order the buses or anything else to be used because he was waiting on someone else to tell him what to do.
Postion	Tokenization
1	What
2	I
3	heard
4	was
5	the
6	Mayor
7	of
8	New
9	Orleans
10	,
11	saying
12	that
13	he
14	didn't
15	did
16	n't
17	order
18	the
19	buses
20	or
21	anything
22	else
23	to
24	be
25	used
26	because
27	he
28	was
29	waiting
30	on
31	someone
32	else
33	to
34	tell
35	him
36	what
37	to
38	do
39	.
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	4	nsubj
2	I	PRON	3	nsubj
3	heard	VERB	1	acl:relcl
4	was	VERB	0	root
5	the	DET	6	det
6	Mayor	PROPN	11	nsubj
7	of	ADP	9	case
8	New	PROPN	9	compound
9	Orleans	PROPN	6	nmod
10	,	PUNCT	11	punct
11	saying	VERB	4	ccomp
12	that	SCONJ	16	mark
13	he	PRON	16	nsubj
14	didn't	_	None	_
15	did	AUX	16	aux
16	n't	PART	16	advmod
17	order	VERB	11	ccomp
18	the	DET	18	det
19	buses	NOUN	16	obj
20	or	CCONJ	20	cc
21	anything	PRON	18	conj
22	else	ADJ	20	amod
23	to	PART	24	mark
24	be	AUX	24	aux:pass
25	used	VERB	16	xcomp
26	because	SCONJ	28	mark
27	he	PRON	28	nsubj
28	was	AUX	28	aux
29	waiting	VERB	16	advcl
30	on	ADP	30	case
31	someone	PRON	28	obl
32	else	ADJ	30	amod
33	to	PART	33	mark
34	tell	VERB	28	advcl
35	him	PRON	33	obj
36	what	PRON	33	obj
37	to	PART	37	mark
38	do	VERB	35	acl:relcl
39	.	PUNCT	4	punct