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:
Narodil se jako žena, prodělal operativní zákroky přeměny pohlaví a nakonec došlo i ke změnám v matrice, aby se stal mužem i oficiálně.
Postion	Tokenization
1	Narodil
2	se
3	jako
4	žena
5	,
6	prodělal
7	operativní
8	zákroky
9	přeměny
10	pohlaví
11	a
12	nakonec
13	došlo
14	i
15	ke
16	změnám
17	v
18	matrice
19	,
20	aby
21	aby
22	by
23	se
24	stal
25	mužem
26	i
27	oficiálně
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Narodil	VERB	0	root
2	se	PRON	1	expl:pv
3	jako	SCONJ	4	mark
4	žena	NOUN	1	xcomp
5	,	PUNCT	6	punct
6	prodělal	VERB	1	conj
7	operativní	ADJ	8	amod
8	zákroky	NOUN	6	obj
9	přeměny	NOUN	8	nmod
10	pohlaví	NOUN	9	nmod
11	a	CCONJ	13	cc
12	nakonec	ADV	13	advmod
13	došlo	VERB	1	conj
14	i	CCONJ	16	advmod:emph
15	ke	ADP	16	case
16	změnám	NOUN	13	obl:arg
17	v	ADP	18	case
18	matrice	NOUN	16	nmod
19	,	PUNCT	23	punct
20	aby	_	None	_
21	aby	SCONJ	23	mark
22	by	AUX	23	aux
23	se	PRON	23	expl:pv
24	stal	VERB	13	advcl
25	mužem	NOUN	23	obl:arg
26	i	CCONJ	26	advmod:emph
27	oficiálně	ADV	23	advmod
28	.	PUNCT	1	punct