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:
Pravda, ze ženských jmen se příjmení tvoří mnohem řidčeji než ze jmen mužských (žena to neměla v minulosti snadné), ale v daném případě jde skutečně o odvozeninu od jména ženského.
Postion	Tokenization
1	Pravda
2	,
3	ze
4	ženských
5	jmen
6	se
7	příjmení
8	tvoří
9	mnohem
10	řidčeji
11	než
12	ze
13	jmen
14	mužských
15	(
16	žena
17	to
18	neměla
19	v
20	minulosti
21	snadné
22	)
23	,
24	ale
25	v
26	daném
27	případě
28	jde
29	skutečně
30	o
31	odvozeninu
32	od
33	jména
34	ženského
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Pravda	NOUN	8	dep
2	,	PUNCT	8	punct
3	ze	ADP	5	case
4	ženských	ADJ	5	amod
5	jmen	NOUN	8	obl:arg
6	se	PRON	8	expl:pass
7	příjmení	NOUN	8	nsubj:pass
8	tvoří	VERB	0	root
9	mnohem	ADV	10	advmod
10	řidčeji	ADV	8	advmod
11	než	SCONJ	13	mark
12	ze	ADP	13	case
13	jmen	NOUN	10	dep
14	mužských	ADJ	13	amod
15	(	PUNCT	18	punct
16	žena	NOUN	18	nsubj
17	to	DET	18	iobj
18	neměla	VERB	8	parataxis
19	v	ADP	20	case
20	minulosti	NOUN	18	obl
21	snadné	ADJ	18	xcomp
22	)	PUNCT	18	punct
23	,	PUNCT	28	punct
24	ale	CCONJ	28	cc
25	v	ADP	27	case
26	daném	ADJ	27	amod
27	případě	NOUN	28	obl
28	jde	VERB	8	conj
29	skutečně	ADV	28	advmod
30	o	ADP	31	case
31	odvozeninu	NOUN	28	obl:arg
32	od	ADP	33	case
33	jména	NOUN	31	nmod
34	ženského	ADJ	33	amod
35	.	PUNCT	8	punct