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:
The other ethicities weren't well represented in politics yet--or rather, they were just breaking the color barrier in the 70's due largely to the more open-minded hippy generation.
Postion	Tokenization
1	The
2	other
3	ethicities
4	weren't
5	were
6	n't
7	well
8	represented
9	in
10	politics
11	yet
12	--
13	or
14	rather
15	,
16	they
17	were
18	just
19	breaking
20	the
21	color
22	barrier
23	in
24	the
25	70's
26	due
27	largely
28	to
29	the
30	more
31	open
32	-
33	minded
34	hippy
35	generation
36	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	other	ADJ	3	amod
3	ethicities	NOUN	7	nsubj:pass
4	weren't	_	None	_
5	were	AUX	7	aux:pass
6	n't	PART	7	advmod
7	well	ADV	7	advmod
8	represented	VERB	0	root
9	in	ADP	9	case
10	politics	NOUN	7	obl
11	yet	ADV	7	advmod
12	--	PUNCT	7	punct
13	or	CCONJ	13	cc
14	rather	ADV	18	cc
15	,	PUNCT	18	punct
16	they	PRON	18	nsubj
17	were	AUX	18	aux
18	just	ADV	18	advmod
19	breaking	VERB	7	conj
20	the	DET	21	det
21	color	NOUN	21	compound
22	barrier	NOUN	18	obj
23	in	ADP	24	case
24	the	DET	24	det
25	70's	NOUN	18	obl
26	due	ADP	34	case
27	largely	ADV	34	advmod
28	to	ADP	25	fixed
29	the	DET	34	det
30	more	ADV	32	advmod
31	open	ADJ	32	amod
32	-	PUNCT	32	punct
33	minded	ADJ	34	amod
34	hippy	NOUN	34	compound
35	generation	NOUN	18	obl
36	.	PUNCT	7	punct