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 tokenized text:
V jedné ze svých přednášek jste českou společnost přirovnal k hemžení, které se objeví, když se odvalí kámen ležící nehnutě mnoho let na jednom místě.
Postion	Tokenization
1	V
2	jedné
3	ze
4	svých
5	přednášek
6	jste
7	českou
8	společnost
9	přirovnal
10	k
11	hemžení
12	,
13	které
14	se
15	objeví
16	,
17	když
18	se
19	odvalí
20	kámen
21	ležící
22	nehnutě
23	mnoho
24	let
25	na
26	jednom
27	místě
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	jedné	NUM	9	obl
3	ze	ADP	5	case
4	svých	DET	5	det
5	přednášek	NOUN	2	nmod
6	jste	AUX	9	aux
7	českou	ADJ	8	amod
8	společnost	NOUN	9	obj
9	přirovnal	VERB	0	root
10	k	ADP	11	case
11	hemžení	NOUN	9	obl:arg
12	,	PUNCT	15	punct
13	které	DET	15	nsubj
14	se	PRON	15	expl:pv
15	objeví	VERB	11	acl:relcl
16	,	PUNCT	19	punct
17	když	SCONJ	19	mark
18	se	PRON	19	expl:pass
19	odvalí	VERB	15	advcl
20	kámen	NOUN	19	nsubj:pass
21	ležící	ADJ	20	amod
22	nehnutě	ADV	21	advmod
23	mnoho	DET	24	det:numgov
24	let	NOUN	21	obl
25	na	ADP	27	case
26	jednom	NUM	27	nummod
27	místě	NOUN	21	obl
28	.	PUNCT	9	punct