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 text: Jinými slovy, jestliže r. 1936 v USA tvořily (řekněme) 20 % obyvatel USA středně situované bílé ženy v domácnosti ve věku mezi 20 - 40 lety, pak také mezi dotázanými musí být 20 % žen se stejnou charakteristikou.
Position	Tokenization	UPOS	Head	Deprel
1	Jinými	ADJ	2	amod
2	slovy	NOUN	36	dep
3	,	PUNCT	2	punct
4	jestliže	SCONJ	10	mark
5	r	NOUN	10	obl
6	.	PUNCT	5	punct
7	1936	NUM	5	nummod
8	v	ADP	9	case
9	USA	PROPN	10	obl
10	tvořily	VERB	36	advcl
11	(	PUNCT	12	punct
12	řekněme	VERB	14	advcl
13	)	PUNCT	12	punct
14	20	NUM	10	obj
15	%	SYM	14	nmod
16	obyvatel	NOUN	15	nmod
17	USA	PROPN	16	nmod
18	středně	ADV	19	advmod
19	situované	ADJ	21	amod
20	bílé	ADJ	21	amod
21	ženy	NOUN	10	nsubj
22	v	ADP	23	case
23	domácnosti	NOUN	21	nmod
24	ve	ADP	25	case
25	věku	NOUN	21	nmod
26	mezi	ADP	30	case
27	20	NUM	30	nummod
28	-	PUNCT	29	punct
29	40	NUM	27	conj
30	lety	NOUN	25	nmod
31	,	PUNCT	10	punct
32	pak	ADV	36	advmod
33	také	ADV	36	advmod
34	mezi	ADP	35	case
35	dotázanými	ADJ	37	obl
36	musí	VERB	0	root
37	být	VERB	36	xcomp
38	20	NUM	36	nsubj
39	%	SYM	38	nmod
40	žen	NOUN	39	nmod
41	se	ADP	43	case
42	stejnou	ADJ	43	amod
43	charakteristikou	NOUN	40	nmod
44	.	PUNCT	36	punct