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 text: K dnešní součinnosti ČST a ČT bych se nerad vyjadřoval, protože obě mají stejnou výrobní základnu pro realizaci zpravodajství (ve správě ČST), což přináší řadu drobných i větších kolizí a rozhodně neprospívá zvyšování kvality.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	dnešní	ADJ	3	amod
3	součinnosti	NOUN	10	obl:arg
4	ČST	PROPN	3	nmod
5	a	CCONJ	6	cc
6	ČT	PROPN	4	conj
7	bych	AUX	10	aux
8	se	PRON	10	expl:pv
9	nerad	ADJ	10	xcomp
10	vyjadřoval	VERB	0	root
11	,	PUNCT	14	punct
12	protože	SCONJ	14	mark
13	obě	NUM	14	nsubj
14	mají	VERB	10	advcl
15	stejnou	ADJ	17	amod
16	výrobní	ADJ	17	amod
17	základnu	NOUN	14	obj
18	pro	ADP	19	case
19	realizaci	NOUN	17	nmod
20	zpravodajství	NOUN	19	nmod
21	(	PUNCT	23	punct
22	ve	ADP	23	case
23	správě	NOUN	17	nmod
24	ČST	PROPN	23	nmod
25	)	PUNCT	23	punct
26	,	PUNCT	28	punct
27	což	PRON	28	nsubj
28	přináší	VERB	14	conj
29	řadu	NOUN	28	obj
30	drobných	ADJ	33	amod
31	i	CCONJ	32	cc
32	větších	ADJ	30	conj
33	kolizí	NOUN	29	nmod
34	a	CCONJ	36	cc
35	rozhodně	ADV	36	advmod
36	neprospívá	VERB	28	conj
37	zvyšování	NOUN	36	obl:arg
38	kvality	NOUN	37	nmod
39	.	PUNCT	10	punct