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: Podnikající ČT se dostala pod tlak inzerentů, takže více než na plnění potřeb veřejnosti, jak jí ukládá zákon, se stejně jako komerční televize orientuje hlavně na boj s konkurencí a honbu za co nejvyšší sledovaností.
Position	Tokenization	UPOS	Head	Deprel
1	Podnikající	ADJ	2	amod
2	ČT	PROPN	4	nsubj
3	se	PRON	4	expl:pv
4	dostala	VERB	0	root
5	pod	ADP	6	case
6	tlak	NOUN	4	obl
7	inzerentů	NOUN	6	nmod
8	,	PUNCT	27	punct
9	takže	SCONJ	27	mark
10	více	ADV	27	advmod
11	než	SCONJ	13	mark
12	na	ADP	13	case
13	plnění	NOUN	10	dep
14	potřeb	NOUN	13	nmod
15	veřejnosti	NOUN	14	nmod
16	,	PUNCT	19	punct
17	jak	ADV	19	advmod
18	jí	PRON	19	obl:arg
19	ukládá	VERB	27	parataxis
20	zákon	NOUN	19	nsubj
21	,	PUNCT	19	punct
22	se	PRON	27	expl:pv
23	stejně	ADV	27	advmod
24	jako	SCONJ	26	mark
25	komerční	ADJ	26	amod
26	televize	NOUN	23	advcl
27	orientuje	VERB	4	advcl
28	hlavně	ADV	30	advmod:emph
29	na	ADP	30	case
30	boj	NOUN	27	obl:arg
31	s	ADP	32	case
32	konkurencí	NOUN	30	nmod
33	a	CCONJ	34	cc
34	honbu	NOUN	30	conj
35	za	ADP	38	case
36	co	ADV	37	advmod
37	nejvyšší	ADJ	38	amod
38	sledovaností	NOUN	34	nmod
39	.	PUNCT	4	punct