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:
Pro ně se tak možná stane život šťastnějším a spokojenějším, dokonce se může v rámci terapie podařit, že tito lidé budou schopni žít bez větších problémů v původní roli.
Postion	Tokenization
1	Pro
2	ně
3	se
4	tak
5	možná
6	stane
7	život
8	šťastnějším
9	a
10	spokojenějším
11	,
12	dokonce
13	se
14	může
15	v
16	rámci
17	terapie
18	podařit
19	,
20	že
21	tito
22	lidé
23	budou
24	schopni
25	žít
26	bez
27	větších
28	problémů
29	v
30	původní
31	roli
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	ně	PRON	6	obl
3	se	PRON	6	expl:pv
4	tak	ADV	6	advmod
5	možná	ADV	6	advmod
6	stane	VERB	0	root
7	život	NOUN	6	nsubj
8	šťastnějším	ADJ	6	obl:arg
9	a	CCONJ	10	cc
10	spokojenějším	ADJ	8	conj
11	,	PUNCT	14	punct
12	dokonce	ADV	14	advmod:emph
13	se	PRON	18	expl:pv
14	může	VERB	6	conj
15	v	ADP	17	case
16	rámci	NOUN	15	fixed
17	terapie	NOUN	14	obl
18	podařit	VERB	14	xcomp
19	,	PUNCT	24	punct
20	že	SCONJ	24	mark
21	tito	DET	22	det
22	lidé	NOUN	24	nsubj
23	budou	AUX	24	cop
24	schopni	ADJ	14	csubj
25	žít	VERB	24	xcomp
26	bez	ADP	28	case
27	větších	ADJ	28	amod
28	problémů	NOUN	25	obl
29	v	ADP	31	case
30	původní	ADJ	31	amod
31	roli	NOUN	25	obl
32	.	PUNCT	6	punct