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:
It was a cubist piece from the 1920s and I believe you called the technique a "push wa" (pronunciation Vs an attempt at the proper spelling).
Postion	Tokenization
1	It
2	was
3	a
4	cubist
5	piece
6	from
7	the
8	1920s
9	and
10	I
11	believe
12	you
13	called
14	the
15	technique
16	a
17	"
18	push
19	wa
20	"
21	(
22	pronunciation
23	Vs
24	an
25	attempt
26	at
27	the
28	proper
29	spelling
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	5	nsubj
2	was	AUX	5	cop
3	a	DET	5	det
4	cubist	ADJ	5	amod
5	piece	NOUN	0	root
6	from	ADP	8	case
7	the	DET	8	det
8	1920s	NOUN	5	nmod
9	and	CCONJ	11	cc
10	I	PRON	11	nsubj
11	believe	VERB	5	conj
12	you	PRON	13	nsubj
13	called	VERB	11	ccomp
14	the	DET	15	det
15	technique	NOUN	13	obj
16	a	DET	19	det
17	"	PUNCT	19	punct
18	push	NOUN	19	compound
19	wa	NOUN	13	xcomp
20	"	PUNCT	19	punct
21	(	PUNCT	22	punct
22	pronunciation	NOUN	5	parataxis
23	Vs	ADP	25	case
24	an	DET	25	det
25	attempt	NOUN	22	nmod
26	at	ADP	29	case
27	the	DET	29	det
28	proper	ADJ	29	amod
29	spelling	NOUN	25	nmod
30	)	PUNCT	22	punct
31	.	PUNCT	22	punct