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: Fero Fenič (šéf firmy Febio, kde oba pořady vznikají) váže jedno na druhé a zdůrazňuje, že doba potřebná na přípravu nového projektu se těmito průtahy zkracuje do neúnosné míry.
Position	Tokenization	UPOS	Head	Deprel
1	Fero	PROPN	13	nsubj
2	Fenič	PROPN	1	flat
3	(	PUNCT	4	punct
4	šéf	NOUN	1	appos
5	firmy	NOUN	4	nmod
6	Febio	PROPN	5	nmod
7	,	PUNCT	11	punct
8	kde	ADV	11	advmod
9	oba	NUM	10	nummod
10	pořady	NOUN	11	nsubj
11	vznikají	VERB	5	acl:relcl
12	)	PUNCT	4	punct
13	váže	VERB	0	root
14	jedno	NUM	13	obj
15	na	ADP	16	case
16	druhé	ADJ	13	obl:arg
17	a	CCONJ	18	cc
18	zdůrazňuje	VERB	13	conj
19	,	PUNCT	30	punct
20	že	SCONJ	30	mark
21	doba	NOUN	30	nsubj:pass
22	potřebná	ADJ	21	amod
23	na	ADP	24	case
24	přípravu	NOUN	22	obl
25	nového	ADJ	26	amod
26	projektu	NOUN	24	nmod
27	se	PRON	30	expl:pass
28	těmito	DET	29	det
29	průtahy	NOUN	30	obl
30	zkracuje	VERB	18	ccomp
31	do	ADP	33	case
32	neúnosné	ADJ	33	amod
33	míry	NOUN	30	obl
34	.	PUNCT	13	punct