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:
But I've done hundreds of dog introductions myself (another place, I don't work here), and owners can have unrealistic expectations and views of what they see when their dogs meet other dogs.
Postion	Tokenization
1	But
2	I've
3	I
4	've
5	done
6	hundreds
7	of
8	dog
9	introductions
10	myself
11	(
12	another
13	place
14	,
15	I
16	don't
17	do
18	n't
19	work
20	here
21	)
22	,
23	and
24	owners
25	can
26	have
27	unrealistic
28	expectations
29	and
30	views
31	of
32	what
33	they
34	see
35	when
36	their
37	dogs
38	meet
39	other
40	dogs
41	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	24	cc
2	I've	_	None	_
3	I	PRON	4	nsubj
4	've	AUX	4	aux
5	done	VERB	0	root
6	hundreds	NOUN	4	obj
7	of	ADP	8	case
8	dog	NOUN	8	compound
9	introductions	NOUN	5	nmod
10	myself	PRON	4	obl:npmod
11	(	PUNCT	12	punct
12	another	DET	12	det
13	place	NOUN	4	parataxis
14	,	PUNCT	12	punct
15	I	PRON	17	nsubj
16	don't	_	None	_
17	do	AUX	17	aux
18	n't	PART	17	advmod
19	work	VERB	12	parataxis
20	here	ADV	17	advmod
21	)	PUNCT	12	punct
22	,	PUNCT	24	punct
23	and	CCONJ	24	cc
24	owners	NOUN	24	nsubj
25	can	AUX	24	aux
26	have	VERB	4	conj
27	unrealistic	ADJ	26	amod
28	expectations	NOUN	24	obj
29	and	CCONJ	28	cc
30	views	NOUN	26	conj
31	of	SCONJ	30	case
32	what	PRON	26	nmod
33	they	PRON	32	nsubj
34	see	VERB	30	acl:relcl
35	when	SCONJ	36	mark
36	their	PRON	35	nmod:poss
37	dogs	NOUN	36	nsubj
38	meet	VERB	32	advcl
39	other	ADJ	38	amod
40	dogs	NOUN	36	obj
41	.	PUNCT	4	punct