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 can say all of our EPM horses were treated early when they were showing mild signs like Shee gave and all returned to racing.
Postion	Tokenization
1	I
2	can
3	say
4	all
5	of
6	our
7	EPM
8	horses
9	were
10	treated
11	early
12	when
13	they
14	were
15	showing
16	mild
17	signs
18	like
19	Shee
20	gave
21	and
22	all
23	returned
24	to
25	racing
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	can	AUX	3	aux
3	say	VERB	0	root
4	all	DET	10	nsubj:pass
5	of	ADP	8	case
6	our	PRON	8	nmod:poss
7	EPM	NOUN	8	compound
8	horses	NOUN	4	nmod
9	were	AUX	10	aux:pass
10	treated	VERB	3	ccomp
11	early	ADV	10	advmod
12	when	SCONJ	15	mark
13	they	PRON	15	nsubj
14	were	AUX	15	aux
15	showing	VERB	10	advcl
16	mild	ADJ	17	amod
17	signs	NOUN	15	obj
18	like	SCONJ	20	mark
19	Shee	PROPN	20	nsubj
20	gave	VERB	15	advcl
21	and	CCONJ	23	cc
22	all	ADV	23	nsubj
23	returned	VERB	10	conj
24	to	ADP	25	case
25	racing	NOUN	23	obl
26	.	PUNCT	3	punct