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: Jestliže měl v úmyslu nominací dr. Fostera do funkce "hlavního lékaře", de facto ministra zdravotnictví, vnést rozkol mezi republikánské kongresmany, tak se mu to zcela očividně nepovedlo.
Position	Tokenization	UPOS	Head	Deprel
1	Jestliže	SCONJ	2	mark
2	měl	VERB	33	advcl
3	v	ADP	4	case
4	úmyslu	NOUN	2	obl:arg
5	nominací	NOUN	21	obl
6	dr	NOUN	8	nmod
7	.	PUNCT	6	punct
8	Fostera	PROPN	5	nmod
9	do	ADP	10	case
10	funkce	NOUN	5	nmod
11	"	PUNCT	13	punct
12	hlavního	ADJ	13	amod
13	lékaře	NOUN	10	nmod
14	"	PUNCT	13	punct
15	,	PUNCT	18	punct
16	de	ADP	18	advmod:emph
17	facto	NOUN	16	fixed
18	ministra	NOUN	13	appos
19	zdravotnictví	NOUN	18	nmod
20	,	PUNCT	18	punct
21	vnést	VERB	2	xcomp
22	rozkol	NOUN	21	obj
23	mezi	ADP	25	case
24	republikánské	ADJ	25	amod
25	kongresmany	NOUN	21	obl
26	,	PUNCT	2	punct
27	tak	ADV	33	advmod
28	se	PRON	33	expl:pv
29	mu	PRON	33	obl:arg
30	to	DET	33	nsubj
31	zcela	ADV	32	advmod
32	očividně	ADV	33	advmod
33	nepovedlo	VERB	0	root
34	.	PUNCT	33	punct