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:
76 - Percentage of 215 cities surveyed by the US Conference of Mayors in early 2004 that had yet to receive a dime in federal homeland security assistance for their first-response units.
Postion	Tokenization
1	76
2	-
3	Percentage
4	of
5	215
6	cities
7	surveyed
8	by
9	the
10	US
11	Conference
12	of
13	Mayors
14	in
15	early
16	2004
17	that
18	had
19	yet
20	to
21	receive
22	a
23	dime
24	in
25	federal
26	homeland
27	security
28	assistance
29	for
30	their
31	first
32	-
33	response
34	units
35	.
Position	Tokenization	UPOS	Head	Deprel
1	76	NUM	0	root
2	-	PUNCT	1	punct
3	Percentage	NOUN	1	appos
4	of	ADP	6	case
5	215	NUM	6	nummod
6	cities	NOUN	3	nmod
7	surveyed	VERB	6	acl
8	by	ADP	11	case
9	the	DET	11	det
10	US	PROPN	11	compound
11	Conference	PROPN	7	obl
12	of	ADP	13	case
13	Mayors	PROPN	11	nmod
14	in	ADP	16	case
15	early	ADJ	16	amod
16	2004	NUM	7	obl
17	that	PRON	18	nsubj
18	had	VERB	3	acl:relcl
19	yet	ADV	18	advmod
20	to	PART	21	mark
21	receive	VERB	18	xcomp
22	a	DET	23	det
23	dime	NOUN	21	obj
24	in	ADP	28	case
25	federal	ADJ	28	amod
26	homeland	NOUN	27	compound
27	security	NOUN	28	compound
28	assistance	NOUN	21	obl
29	for	ADP	34	case
30	their	PRON	34	nmod:poss
31	first	ADJ	33	amod
32	-	PUNCT	33	punct
33	response	NOUN	34	compound
34	units	NOUN	21	obl
35	.	PUNCT	1	punct