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 have seen horses Loose Nails On there Own And do just fine with ONE nail gone Now if he had left out 2 or 3 I would be wondering to...
Postion	Tokenization
1	I
2	have
3	seen
4	horses
5	Loose
6	Nails
7	On
8	there
9	Own
10	And
11	do
12	just
13	fine
14	with
15	ONE
16	nail
17	gone
18	Now
19	if
20	he
21	had
22	left
23	out
24	2
25	or
26	3
27	I
28	would
29	be
30	wondering
31	to
32	...
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	seen	VERB	0	root
4	horses	NOUN	5	nsubj
5	Loose	VERB	3	ccomp
6	Nails	NOUN	5	obj
7	On	ADP	9	case
8	there	PRON	9	nmod:poss
9	Own	ADJ	5	obl
10	And	CCONJ	11	cc
11	do	VERB	5	conj
12	just	ADV	13	advmod
13	fine	ADV	11	advmod
14	with	SCONJ	17	mark
15	ONE	NUM	16	nummod
16	nail	NOUN	17	nsubj
17	gone	VERB	11	advcl
18	Now	ADV	30	advmod
19	if	SCONJ	22	mark
20	he	PRON	22	nsubj
21	had	AUX	22	aux
22	left	VERB	30	advcl
23	out	ADV	22	advmod
24	2	NUM	22	obj
25	or	CCONJ	26	cc
26	3	NUM	24	conj
27	I	PRON	30	nsubj
28	would	AUX	30	aux
29	be	AUX	30	aux
30	wondering	VERB	3	parataxis
31	to	ADV	30	advmod
32	...	PUNCT	3	punct