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: Během odpoledne mě volala MUDr. Šinkýřová ze stejného ústavu, abych se k odběru dostavil během pátku, tedy druhý den, což jsem jí nezaručil s ohledem na 'pochodující' nervy.
Position	Tokenization	UPOS	Head	Deprel
1	Během	ADP	2	case
2	odpoledne	NOUN	4	obl
3	mě	PRON	4	obj
4	volala	VERB	0	root
5	MUDr	NOUN	7	nmod
6	.	PUNCT	5	punct
7	Šinkýřová	PROPN	4	nsubj
8	ze	ADP	10	case
9	stejného	ADJ	10	amod
10	ústavu	NOUN	7	nmod
11	,	PUNCT	17	punct
12	abych	_	None	_
13	aby	SCONJ	17	mark
14	bych	AUX	17	aux
15	se	PRON	17	expl:pv
16	k	ADP	16	case
17	odběru	NOUN	17	obl
18	dostavil	VERB	4	advcl
19	během	ADP	19	case
20	pátku	NOUN	17	obl
21	,	PUNCT	23	punct
22	tedy	ADV	23	cc
23	druhý	ADJ	23	amod
24	den	NOUN	19	appos
25	,	PUNCT	28	punct
26	což	PRON	28	obj
27	jsem	AUX	28	aux
28	jí	PRON	28	obl:arg
29	nezaručil	VERB	4	conj
30	s	ADP	35	case
31	ohledem	NOUN	29	fixed
32	na	ADP	29	fixed
33	'	PUNCT	33	punct
34	pochodující	ADJ	35	amod
35	'	PUNCT	33	punct
36	nervy	NOUN	28	obl
37	.	PUNCT	4	punct