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: Volalo se po potřebě Magny charty ženských práv, po vzdělávání bez sexuálního obtěžování, proti tomu, že se pánové v laboratořích baví pornografickými obrázky zpracovávanými na obrazovkách, o potřebě vhodnějšího prostředí pro ženy ve vědeckých ústavech...
Position	Tokenization	UPOS	Head	Deprel
1	Volalo	VERB	0	root
2	se	PRON	1	expl:pass
3	po	ADP	4	case
4	potřebě	NOUN	1	obl
5	Magny	NOUN	6	nmod
6	charty	NOUN	4	nmod
7	ženských	ADJ	8	amod
8	práv	NOUN	6	nmod
9	,	PUNCT	11	punct
10	po	ADP	11	case
11	vzdělávání	NOUN	4	conj
12	bez	ADP	14	case
13	sexuálního	ADJ	14	amod
14	obtěžování	NOUN	11	nmod
15	,	PUNCT	17	punct
16	proti	ADP	17	case
17	tomu	DET	4	conj
18	,	PUNCT	24	punct
19	že	SCONJ	24	mark
20	se	PRON	24	expl:pv
21	pánové	NOUN	24	nsubj
22	v	ADP	23	case
23	laboratořích	NOUN	21	nmod
24	baví	VERB	17	acl
25	pornografickými	ADJ	26	amod
26	obrázky	NOUN	24	obl
27	zpracovávanými	ADJ	26	amod
28	na	ADP	29	case
29	obrazovkách	NOUN	27	obl
30	,	PUNCT	32	punct
31	o	ADP	32	case
32	potřebě	NOUN	4	conj
33	vhodnějšího	ADJ	34	amod
34	prostředí	NOUN	32	nmod
35	pro	ADP	36	case
36	ženy	NOUN	34	nmod
37	ve	ADP	39	case
38	vědeckých	ADJ	39	amod
39	ústavech	NOUN	34	nmod
40	.	PUNCT	1	punct
41	.	PUNCT	1	punct
42	.	PUNCT	1	punct