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 text: Prof. Fiala po působení na libeňském a Jiráskově gymnáziu v Praze přešel v padesátých letech do fotooddělení ČSAV, aby se věnoval své zálibě, se kterou začal již ve třinácti letech.
Position	Tokenization	UPOS	Head	Deprel
1	Prof	NOUN	3	nmod
2	.	PUNCT	1	punct
3	Fiala	PROPN	13	nsubj
4	po	ADP	5	case
5	působení	NOUN	13	obl
6	na	ADP	10	case
7	libeňském	ADJ	10	amod
8	a	CCONJ	9	cc
9	Jiráskově	ADJ	7	conj
10	gymnáziu	NOUN	5	nmod
11	v	ADP	12	case
12	Praze	PROPN	10	nmod
13	přešel	VERB	0	root
14	v	ADP	16	case
15	padesátých	ADJ	16	amod
16	letech	NOUN	13	obl
17	do	ADP	18	case
18	fotooddělení	NOUN	13	obl
19	ČSAV	PROPN	18	nmod
20	,	PUNCT	24	punct
21	aby	_	None	_
22	aby	SCONJ	24	mark
23	by	AUX	24	aux
24	se	PRON	24	expl:pv
25	věnoval	VERB	13	advcl
26	své	DET	26	det
27	zálibě	NOUN	24	obl:arg
28	,	PUNCT	30	punct
29	se	ADP	29	case
30	kterou	DET	30	obl:arg
31	začal	VERB	26	acl:relcl
32	již	ADV	34	advmod:emph
33	ve	ADP	34	case
34	třinácti	NUM	34	nummod
35	letech	NOUN	30	obl
36	.	PUNCT	13	punct