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:
Lebeď, mluvčí masy armádních nespokojenců, slavný generál s velkým vlivem na veřejné mínění, je všeobecně považován za jednoho z kandidátů na příštího prezidenta.
Postion	Tokenization
1	Lebeď
2	,
3	mluvčí
4	masy
5	armádních
6	nespokojenců
7	,
8	slavný
9	generál
10	s
11	velkým
12	vlivem
13	na
14	veřejné
15	mínění
16	,
17	je
18	všeobecně
19	považován
20	za
21	jednoho
22	z
23	kandidátů
24	na
25	příštího
26	prezidenta
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Lebeď	PROPN	19	nsubj:pass
2	,	PUNCT	3	punct
3	mluvčí	NOUN	1	appos
4	masy	NOUN	3	nmod
5	armádních	ADJ	6	amod
6	nespokojenců	NOUN	4	nmod
7	,	PUNCT	9	punct
8	slavný	ADJ	9	amod
9	generál	NOUN	3	conj
10	s	ADP	12	case
11	velkým	ADJ	12	amod
12	vlivem	NOUN	9	nmod
13	na	ADP	15	case
14	veřejné	ADJ	15	amod
15	mínění	NOUN	12	nmod
16	,	PUNCT	3	punct
17	je	AUX	19	aux:pass
18	všeobecně	ADV	19	advmod
19	považován	ADJ	0	root
20	za	ADP	21	case
21	jednoho	NUM	19	obl:arg
22	z	ADP	23	case
23	kandidátů	NOUN	21	nmod
24	na	ADP	26	case
25	příštího	ADJ	26	amod
26	prezidenta	NOUN	23	nmod
27	.	PUNCT	19	punct