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:
I really do belive he left the nail out becuse of the horses Hoof condition and Its a added bonus he would get to see her again
Postion	Tokenization
1	I
2	really
3	do
4	belive
5	he
6	left
7	the
8	nail
9	out
10	becuse
11	of
12	the
13	horses
14	horse
15	s
16	Hoof
17	condition
18	and
19	Its
20	It
21	s
22	a
23	added
24	bonus
25	he
26	would
27	get
28	to
29	see
30	her
31	again
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	really	ADV	4	advmod
3	do	AUX	4	aux
4	belive	VERB	0	root
5	he	PRON	6	nsubj
6	left	VERB	4	ccomp
7	the	DET	8	det
8	nail	NOUN	6	obj
9	out	ADV	6	advmod
10	becuse	ADP	13	case
11	of	ADP	10	fixed
12	the	DET	13	det
13	horses	_	None	_
14	horse	NOUN	16	nmod:poss
15	s	PART	13	case
16	Hoof	NOUN	16	compound
17	condition	NOUN	6	obl
18	and	CCONJ	22	cc
19	Its	_	None	_
20	It	PRON	22	nsubj
21	s	AUX	22	cop
22	a	DET	22	det
23	added	VERB	22	amod
24	bonus	NOUN	4	conj
25	he	PRON	25	nsubj
26	would	AUX	25	aux
27	get	VERB	22	acl:relcl
28	to	PART	27	mark
29	see	VERB	25	xcomp
30	her	PRON	27	obj
31	again	ADV	27	advmod