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:
Valná hromada přijala také podnikatelský plán na rok 1994, který předpokládá rychlé jmenování nového generálního ředitele, drastické redukování nákladů a nalezení konsenzu s bankami.
Postion	Tokenization
1	Valná
2	hromada
3	přijala
4	také
5	podnikatelský
6	plán
7	na
8	rok
9	1994
10	,
11	který
12	předpokládá
13	rychlé
14	jmenování
15	nového
16	generálního
17	ředitele
18	,
19	drastické
20	redukování
21	nákladů
22	a
23	nalezení
24	konsenzu
25	s
26	bankami
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Valná	ADJ	2	amod
2	hromada	NOUN	3	nsubj
3	přijala	VERB	0	root
4	také	ADV	6	advmod:emph
5	podnikatelský	ADJ	6	amod
6	plán	NOUN	3	obj
7	na	ADP	8	case
8	rok	NOUN	6	nmod
9	1994	NUM	8	nummod
10	,	PUNCT	12	punct
11	který	DET	12	nsubj
12	předpokládá	VERB	6	acl:relcl
13	rychlé	ADJ	14	amod
14	jmenování	NOUN	12	obj
15	nového	ADJ	17	amod
16	generálního	ADJ	17	amod
17	ředitele	NOUN	14	nmod
18	,	PUNCT	20	punct
19	drastické	ADJ	20	amod
20	redukování	NOUN	14	conj
21	nákladů	NOUN	20	nmod
22	a	CCONJ	23	cc
23	nalezení	NOUN	14	conj
24	konsenzu	NOUN	23	nmod
25	s	ADP	26	case
26	bankami	NOUN	24	nmod
27	.	PUNCT	3	punct