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:
Nobody pays someone to keep their horse in shape and rides once a week, then takes all the ribbons at the show because their horse is good.
Postion	Tokenization
1	Nobody
2	pays
3	someone
4	to
5	keep
6	their
7	horse
8	in
9	shape
10	and
11	rides
12	once
13	a
14	week
15	,
16	then
17	takes
18	all
19	the
20	ribbons
21	at
22	the
23	show
24	because
25	their
26	horse
27	is
28	good
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Nobody	PRON	2	nsubj
2	pays	VERB	0	root
3	someone	PRON	2	obj
4	to	PART	5	mark
5	keep	VERB	2	advcl
6	their	PRON	7	nmod:poss
7	horse	NOUN	5	obj
8	in	ADP	9	case
9	shape	NOUN	5	obl
10	and	CCONJ	11	cc
11	rides	VERB	2	conj
12	once	ADV	11	advmod
13	a	DET	14	det
14	week	NOUN	12	obl:npmod
15	,	PUNCT	17	punct
16	then	ADV	17	advmod
17	takes	VERB	2	conj
18	all	DET	20	det:predet
19	the	DET	20	det
20	ribbons	NOUN	17	obj
21	at	ADP	23	case
22	the	DET	23	det
23	show	NOUN	17	obl
24	because	SCONJ	28	mark
25	their	PRON	26	nmod:poss
26	horse	NOUN	28	nsubj
27	is	AUX	28	cop
28	good	ADJ	17	advcl
29	.	PUNCT	2	punct