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:
Celková montáž byla proti výstavbě kontilití v Třineckých železárnách zkrácena o pět měsíců, o stejnou dobu se urychlila i předvýrobní etapa a vlastní výroba.
Postion	Tokenization
1	Celková
2	montáž
3	byla
4	proti
5	výstavbě
6	kontilití
7	v
8	Třineckých
9	železárnách
10	zkrácena
11	o
12	pět
13	měsíců
14	,
15	o
16	stejnou
17	dobu
18	se
19	urychlila
20	i
21	předvýrobní
22	etapa
23	a
24	vlastní
25	výroba
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Celková	ADJ	2	amod
2	montáž	NOUN	10	nsubj:pass
3	byla	AUX	10	aux:pass
4	proti	ADP	5	case
5	výstavbě	NOUN	10	obl
6	kontilití	NOUN	5	nmod
7	v	ADP	9	case
8	Třineckých	ADJ	9	amod
9	železárnách	NOUN	5	nmod
10	zkrácena	ADJ	0	root
11	o	ADP	13	case
12	pět	NUM	13	nummod:gov
13	měsíců	NOUN	10	obl
14	,	PUNCT	19	punct
15	o	ADP	17	case
16	stejnou	ADJ	17	amod
17	dobu	NOUN	19	obl
18	se	PRON	19	expl:pass
19	urychlila	VERB	10	conj
20	i	CCONJ	22	advmod:emph
21	předvýrobní	ADJ	22	amod
22	etapa	NOUN	19	nsubj:pass
23	a	CCONJ	25	cc
24	vlastní	ADJ	25	amod
25	výroba	NOUN	22	conj
26	.	PUNCT	10	punct