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. Dlouhý řekl, že vláda vypíše v blízké budoucnosti výběrové řízení na získání 51 procent akcií Třineckých železáren, Nové huti a Vítkovic.
Postion	Tokenization
1	V
2	.
3	Dlouhý
4	řekl
5	,
6	že
7	vláda
8	vypíše
9	v
10	blízké
11	budoucnosti
12	výběrové
13	řízení
14	na
15	získání
16	51
17	procent
18	akcií
19	Třineckých
20	železáren
21	,
22	Nové
23	huti
24	a
25	Vítkovic
26	.
Position	Tokenization	UPOS	Head	Deprel
1	V	PROPN	4	nsubj
2	.	PUNCT	1	punct
3	Dlouhý	PROPN	1	flat
4	řekl	VERB	0	root
5	,	PUNCT	8	punct
6	že	SCONJ	8	mark
7	vláda	NOUN	8	nsubj
8	vypíše	VERB	4	ccomp
9	v	ADP	11	case
10	blízké	ADJ	11	amod
11	budoucnosti	NOUN	8	obl
12	výběrové	ADJ	13	amod
13	řízení	NOUN	8	obj
14	na	ADP	15	case
15	získání	NOUN	13	nmod
16	51	NUM	17	nummod
17	procent	NOUN	15	nmod
18	akcií	NOUN	17	nmod
19	Třineckých	ADJ	20	amod
20	železáren	NOUN	18	nmod
21	,	PUNCT	23	punct
22	Nové	ADJ	23	amod
23	huti	NOUN	20	conj
24	a	CCONJ	25	cc
25	Vítkovic	PROPN	20	conj
26	.	PUNCT	4	punct