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:
52 - Percentage of votes cast during the 2002 midterm elections that were recorded by Election Systems & Software, the largest voting-technology firm, a big Republican donor.
Postion	Tokenization
1	52
2	-
3	Percentage
4	of
5	votes
6	cast
7	during
8	the
9	2002
10	midterm
11	elections
12	that
13	were
14	recorded
15	by
16	Election
17	Systems
18	&
19	Software
20	,
21	the
22	largest
23	voting
24	-
25	technology
26	firm
27	,
28	a
29	big
30	Republican
31	donor
32	.
Position	Tokenization	UPOS	Head	Deprel
1	52	NUM	0	root
2	-	PUNCT	1	punct
3	Percentage	NOUN	1	appos
4	of	ADP	5	case
5	votes	NOUN	3	nmod
6	cast	VERB	5	acl
7	during	ADP	11	case
8	the	DET	11	det
9	2002	NUM	11	amod
10	midterm	NOUN	11	compound
11	elections	NOUN	6	obl
12	that	PRON	14	nsubj:pass
13	were	AUX	14	aux:pass
14	recorded	VERB	3	acl:relcl
15	by	ADP	17	case
16	Election	PROPN	17	compound
17	Systems	PROPN	14	obl
18	&	CCONJ	19	cc
19	Software	PROPN	17	conj
20	,	PUNCT	17	punct
21	the	DET	26	det
22	largest	ADJ	26	amod
23	voting	NOUN	25	compound
24	-	PUNCT	25	punct
25	technology	NOUN	26	compound
26	firm	NOUN	17	appos
27	,	PUNCT	17	punct
28	a	DET	31	det
29	big	ADJ	31	amod
30	Republican	ADJ	31	amod
31	donor	NOUN	17	appos
32	.	PUNCT	1	punct