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:
Back in 1972 in the Deep South, many rural counties didn't have much in the way of official Republican Party apparatus.
Postion	Tokenization
1	Back
2	in
3	1972
4	in
5	the
6	Deep
7	South
8	,
9	many
10	rural
11	counties
12	didn't
13	did
14	n't
15	have
16	much
17	in
18	the
19	way
20	of
21	official
22	Republican
23	Party
24	apparatus
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Back	ADV	3	advmod
2	in	ADP	3	case
3	1972	NUM	14	obl
4	in	ADP	7	case
5	the	DET	7	det
6	Deep	ADJ	7	amod
7	South	NOUN	14	obl
8	,	PUNCT	14	punct
9	many	ADJ	11	amod
10	rural	ADJ	11	amod
11	counties	NOUN	14	nsubj
12	didn't	_	None	_
13	did	AUX	14	aux
14	n't	PART	14	advmod
15	have	VERB	0	root
16	much	ADJ	14	obj
17	in	ADP	18	case
18	the	DET	18	det
19	way	NOUN	15	obl
20	of	ADP	23	case
21	official	ADJ	23	amod
22	Republican	PROPN	22	compound
23	Party	PROPN	23	compound
24	apparatus	NOUN	18	nmod
25	.	PUNCT	14	punct