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:
July is when he started to exhibit slight symptoms and the owner and vet originally thought it was just some nerve damage from something in the pasture with no visible injury.
Postion	Tokenization
1	July
2	is
3	when
4	he
5	started
6	to
7	exhibit
8	slight
9	symptoms
10	and
11	the
12	owner
13	and
14	vet
15	originally
16	thought
17	it
18	was
19	just
20	some
21	nerve
22	damage
23	from
24	something
25	in
26	the
27	pasture
28	with
29	no
30	visible
31	injury
32	.
Position	Tokenization	UPOS	Head	Deprel
1	July	PROPN	3	nsubj
2	is	AUX	3	cop
3	when	ADV	0	root
4	he	PRON	5	nsubj
5	started	VERB	3	acl:relcl
6	to	PART	7	mark
7	exhibit	VERB	5	xcomp
8	slight	ADJ	9	amod
9	symptoms	NOUN	7	obj
10	and	CCONJ	16	cc
11	the	DET	12	det
12	owner	NOUN	16	nsubj
13	and	CCONJ	14	cc
14	vet	NOUN	12	conj
15	originally	ADV	16	advmod
16	thought	VERB	3	conj
17	it	PRON	22	nsubj
18	was	AUX	22	cop
19	just	ADV	22	advmod
20	some	DET	22	det
21	nerve	NOUN	22	compound
22	damage	NOUN	16	ccomp
23	from	ADP	24	case
24	something	PRON	22	nmod
25	in	ADP	27	case
26	the	DET	27	det
27	pasture	NOUN	24	nmod
28	with	ADP	31	case
29	no	DET	31	det
30	visible	ADJ	31	amod
31	injury	NOUN	24	nmod
32	.	PUNCT	3	punct