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:
Groom was Republican Red Blount's scheduler, and in that job, she was the hub in the campaign wheel.
Postion	Tokenization
1	Groom
2	was
3	Republican
4	Red
5	Blount's
6	Blount
7	's
8	scheduler
9	,
10	and
11	in
12	that
13	job
14	,
15	she
16	was
17	the
18	hub
19	in
20	the
21	campaign
22	wheel
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Groom	PROPN	7	nsubj
2	was	AUX	7	cop
3	Republican	PROPN	4	compound
4	Red	PROPN	7	nmod:poss
5	Blount's	_	None	_
6	Blount	PROPN	4	flat
7	's	PART	4	case
8	scheduler	NOUN	0	root
9	,	PUNCT	17	punct
10	and	CCONJ	17	cc
11	in	ADP	12	case
12	that	DET	12	det
13	job	NOUN	17	obl
14	,	PUNCT	17	punct
15	she	PRON	17	nsubj
16	was	AUX	17	cop
17	the	DET	17	det
18	hub	NOUN	7	conj
19	in	ADP	21	case
20	the	DET	21	det
21	campaign	NOUN	21	compound
22	wheel	NOUN	17	nmod
23	.	PUNCT	7	punct