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:
Jednotlivými součástmi léčby transsexuálních pacientů je psychologická příprava, hormonální léčba, operativní zákrok a nakonec i legální změna pohlaví včetně změn v matrice.
Postion	Tokenization
1	Jednotlivými
2	součástmi
3	léčby
4	transsexuálních
5	pacientů
6	je
7	psychologická
8	příprava
9	,
10	hormonální
11	léčba
12	,
13	operativní
14	zákrok
15	_
16	a
17	nakonec
18	i
19	legální
20	změna
21	pohlaví
22	včetně
23	změn
24	v
25	matrice
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jednotlivými	ADJ	2	amod
2	součástmi	NOUN	0	root
3	léčby	NOUN	2	nmod
4	transsexuálních	ADJ	5	amod
5	pacientů	NOUN	3	nmod
6	je	AUX	2	cop
7	psychologická	ADJ	8	amod
8	příprava	NOUN	2	nsubj
9	,	PUNCT	11	punct
10	hormonální	ADJ	11	amod
11	léčba	NOUN	8	conj
12	,	PUNCT	14	punct
13	operativní	ADJ	14	amod
14	zákrok	NOUN	8	conj
15	_	_	None	_
16	a	CCONJ	16	cc
17	nakonec	ADV	2	conj
18	i	CCONJ	19	advmod:emph
19	legální	ADJ	19	amod
20	změna	NOUN	16	orphan
21	pohlaví	NOUN	19	nmod
22	včetně	ADP	22	case
23	změn	NOUN	19	nmod
24	v	ADP	24	case
25	matrice	NOUN	22	nmod
26	.	PUNCT	2	punct