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 důsledku nového technického vybavení pěti pásovými nakladači, třemi elektrickými tahači a dvěma vysokozdvižnými vozíky dojde od března také ke zkvalitnění pozemního odbavení na ruzyňském letišti.
Postion	Tokenization
1	V
2	důsledku
3	nového
4	technického
5	vybavení
6	pěti
7	pásovými
8	nakladači
9	,
10	třemi
11	elektrickými
12	tahači
13	a
14	dvěma
15	vysokozdvižnými
16	vozíky
17	dojde
18	od
19	března
20	také
21	ke
22	zkvalitnění
23	pozemního
24	odbavení
25	na
26	ruzyňském
27	letišti
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	5	case
2	důsledku	NOUN	1	fixed
3	nového	ADJ	5	amod
4	technického	ADJ	5	amod
5	vybavení	NOUN	17	obl
6	pěti	NUM	8	nummod
7	pásovými	ADJ	8	amod
8	nakladači	NOUN	5	nmod
9	,	PUNCT	12	punct
10	třemi	NUM	12	nummod
11	elektrickými	ADJ	12	amod
12	tahači	NOUN	8	conj
13	a	CCONJ	16	cc
14	dvěma	NUM	16	nummod
15	vysokozdvižnými	ADJ	16	amod
16	vozíky	NOUN	8	conj
17	dojde	VERB	0	root
18	od	ADP	19	case
19	března	NOUN	17	obl
20	také	ADV	17	advmod
21	ke	ADP	22	case
22	zkvalitnění	NOUN	17	obl:arg
23	pozemního	ADJ	24	amod
24	odbavení	NOUN	22	nmod
25	na	ADP	27	case
26	ruzyňském	ADJ	27	amod
27	letišti	NOUN	24	nmod
28	.	PUNCT	17	punct