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:
Při hledání odpovědí na tyto otázky se vracím ke zkušenostem uplynulého roku, kdy jsem měla možnost setkat se s desítkami lidí, kteří se rozhodli změnit své zaměstnání.
Postion	Tokenization
1	Při
2	hledání
3	odpovědí
4	na
5	tyto
6	otázky
7	se
8	vracím
9	ke
10	zkušenostem
11	uplynulého
12	roku
13	,
14	kdy
15	jsem
16	měla
17	možnost
18	setkat
19	se
20	s
21	desítkami
22	lidí
23	,
24	kteří
25	se
26	rozhodli
27	změnit
28	své
29	zaměstnání
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	2	case
2	hledání	NOUN	8	obl
3	odpovědí	NOUN	2	nmod
4	na	ADP	6	case
5	tyto	DET	6	det
6	otázky	NOUN	3	nmod
7	se	PRON	8	expl:pv
8	vracím	VERB	0	root
9	ke	ADP	10	case
10	zkušenostem	NOUN	8	obl:arg
11	uplynulého	ADJ	12	amod
12	roku	NOUN	10	nmod
13	,	PUNCT	16	punct
14	kdy	ADV	16	advmod
15	jsem	AUX	16	aux
16	měla	VERB	12	acl:relcl
17	možnost	NOUN	16	obj
18	setkat	VERB	17	acl
19	se	PRON	18	expl:pv
20	s	ADP	21	case
21	desítkami	NOUN	18	obl:arg
22	lidí	NOUN	21	nmod
23	,	PUNCT	26	punct
24	kteří	DET	26	nsubj
25	se	PRON	26	expl:pv
26	rozhodli	VERB	22	acl:relcl
27	změnit	VERB	26	xcomp
28	své	DET	29	det
29	zaměstnání	NOUN	27	obj
30	.	PUNCT	8	punct