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: Dr. Laura Daulyová z tohoto pracoviště si stěžovala na hrůzný průběh své přednášky - později zjistila, že její kolegové v auditoriu si při výkladu krátili čas "vědeckými" propočty jejích fyzických svůdností...
Position	Tokenization	UPOS	Head	Deprel
1	Dr	NOUN	3	nmod
2	.	PUNCT	1	punct
3	Laura	PROPN	9	nsubj
4	Daulyová	PROPN	3	flat
5	z	ADP	7	case
6	tohoto	DET	7	det
7	pracoviště	NOUN	3	nmod
8	si	PRON	9	expl:pv
9	stěžovala	VERB	0	root
10	na	ADP	12	case
11	hrůzný	ADJ	12	amod
12	průběh	NOUN	9	obl:arg
13	své	DET	14	det
14	přednášky	NOUN	12	nmod
15	-	PUNCT	17	punct
16	později	ADV	17	advmod
17	zjistila	VERB	9	conj
18	,	PUNCT	27	punct
19	že	SCONJ	27	mark
20	její	DET	21	det
21	kolegové	NOUN	27	nsubj
22	v	ADP	23	case
23	auditoriu	NOUN	21	nmod
24	si	PRON	27	obl
25	při	ADP	26	case
26	výkladu	NOUN	27	obl
27	krátili	VERB	17	ccomp
28	čas	NOUN	27	obj
29	"	PUNCT	30	punct
30	vědeckými	ADJ	32	amod
31	"	PUNCT	30	punct
32	propočty	NOUN	27	obl
33	jejích	DET	35	det
34	fyzických	ADJ	35	amod
35	svůdností	NOUN	32	nmod
36	.	PUNCT	9	punct
37	.	PUNCT	9	punct
38	.	PUNCT	9	punct