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:
Jejich produktem je vyléčený pacient, dítě, které se něco naučí, mladá žena nebo muž, z nichž vyrostou řádní dospělí lidé, zkrátka změněný lidský život.
Postion	Tokenization
1	Jejich
2	produktem
3	je
4	vyléčený
5	pacient
6	,
7	dítě
8	,
9	které
10	se
11	něco
12	naučí
13	,
14	mladá
15	žena
16	nebo
17	muž
18	,
19	z
20	nichž
21	vyrostou
22	řádní
23	dospělí
24	lidé
25	,
26	zkrátka
27	změněný
28	lidský
29	život
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jejich	DET	2	det
2	produktem	NOUN	0	root
3	je	AUX	2	cop
4	vyléčený	ADJ	5	amod
5	pacient	NOUN	2	nsubj
6	,	PUNCT	7	punct
7	dítě	NOUN	5	conj
8	,	PUNCT	12	punct
9	které	DET	12	nsubj
10	se	PRON	12	expl:pv
11	něco	PRON	12	obj
12	naučí	VERB	7	acl:relcl
13	,	PUNCT	15	punct
14	mladá	ADJ	15	amod
15	žena	NOUN	5	conj
16	nebo	CCONJ	17	cc
17	muž	NOUN	15	conj
18	,	PUNCT	21	punct
19	z	ADP	20	case
20	nichž	PRON	21	obl:arg
21	vyrostou	VERB	15	acl:relcl
22	řádní	ADJ	24	amod
23	dospělí	ADJ	24	amod
24	lidé	NOUN	21	nsubj
25	,	PUNCT	21	punct
26	zkrátka	ADV	29	cc
27	změněný	ADJ	29	amod
28	lidský	ADJ	29	amod
29	život	NOUN	5	appos
30	.	PUNCT	2	punct