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:
So, the Bay Area has been fairly mixed ethnically for a long time--caucasians may have seemed to be a large populous but that's because most tourists back then were caucasian and many of the hippies were caucasians so that's who the photographers took pictures of.
Postion	Tokenization
1	So
2	,
3	the
4	Bay
5	Area
6	has
7	been
8	fairly
9	mixed
10	ethnically
11	for
12	a
13	long
14	time
15	--
16	caucasians
17	may
18	have
19	seemed
20	to
21	be
22	a
23	large
24	populous
25	but
26	that's
27	that
28	's
29	because
30	most
31	tourists
32	back
33	then
34	were
35	caucasian
36	and
37	many
38	of
39	the
40	hippies
41	were
42	caucasians
43	so
44	that's
45	that
46	's
47	who
48	the
49	photographers
50	took
51	pictures
52	of
53	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	9	advmod
2	,	PUNCT	9	punct
3	the	DET	5	det
4	Bay	PROPN	5	compound
5	Area	PROPN	9	nsubj
6	has	AUX	9	aux
7	been	AUX	9	cop
8	fairly	ADV	9	advmod
9	mixed	ADJ	0	root
10	ethnically	ADV	9	advmod
11	for	ADP	14	case
12	a	DET	14	det
13	long	ADJ	14	amod
14	time	NOUN	9	obl
15	--	PUNCT	9	punct
16	caucasians	NOUN	19	nsubj
17	may	AUX	19	aux
18	have	AUX	19	aux
19	seemed	VERB	9	parataxis
20	to	PART	24	mark
21	be	AUX	24	cop
22	a	DET	24	det
23	large	ADJ	24	amod
24	populous	NOUN	19	xcomp
25	but	CCONJ	27	cc
26	that's	_	None	_
27	that	PRON	27	nsubj
28	's	VERB	19	conj
29	because	SCONJ	34	mark
30	most	ADJ	30	amod
31	tourists	NOUN	34	nsubj
32	back	ADV	32	advmod
33	then	ADV	34	advmod
34	were	AUX	34	cop
35	caucasian	ADJ	27	advcl
36	and	CCONJ	41	cc
37	many	ADJ	41	nsubj
38	of	ADP	39	case
39	the	DET	39	det
40	hippies	NOUN	36	nmod
41	were	AUX	41	cop
42	caucasians	PROPN	34	conj
43	so	ADV	44	advmod
44	that's	_	None	_
45	that	PRON	44	nsubj
46	's	VERB	34	conj
47	who	PRON	49	nmod
48	the	DET	47	det
49	photographers	NOUN	48	nsubj
50	took	VERB	44	ccomp
51	pictures	NOUN	48	obj
52	of	ADP	45	case
53	.	PUNCT	9	punct