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:
Nová kniha ruského prezidenta Borise Jelcina jej odhaluje jako člověka trýzněného depresemi a pochybnostmi, jenž je stejně přísný na své podřízené jako kritický k sobě.
Postion	Tokenization
1	Nová
2	kniha
3	ruského
4	prezidenta
5	Borise
6	Jelcina
7	jej
8	odhaluje
9	jako
10	člověka
11	trýzněného
12	depresemi
13	a
14	pochybnostmi
15	,
16	jenž
17	je
18	stejně
19	přísný
20	na
21	své
22	podřízené
23	jako
24	kritický
25	k
26	sobě
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nová	ADJ	2	amod
2	kniha	NOUN	8	nsubj
3	ruského	ADJ	4	amod
4	prezidenta	NOUN	2	nmod
5	Borise	PROPN	4	flat
6	Jelcina	PROPN	4	flat
7	jej	PRON	8	obj
8	odhaluje	VERB	0	root
9	jako	SCONJ	10	mark
10	člověka	NOUN	7	xcomp
11	trýzněného	ADJ	10	amod
12	depresemi	NOUN	11	obl
13	a	CCONJ	14	cc
14	pochybnostmi	NOUN	12	conj
15	,	PUNCT	19	punct
16	jenž	PRON	19	nsubj
17	je	AUX	19	cop
18	stejně	ADV	19	advmod
19	přísný	ADJ	10	acl:relcl
20	na	ADP	22	case
21	své	DET	22	obl
22	podřízené	ADJ	19	obl
23	jako	SCONJ	24	mark
24	kritický	ADJ	18	advcl
25	k	ADP	26	case
26	sobě	PRON	24	obl
27	.	PUNCT	8	punct