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:
Pro druhý je příznačná existence velkých i mamutích podniků, technický pokrok je plánován přímo koncernem a inovace se projevuje spíš jeho dalším zvětšením než rozšířeným počtem dalších podniků.
Postion	Tokenization
1	Pro
2	druhý
3	je
4	příznačná
5	existence
6	velkých
7	i
8	mamutích
9	podniků
10	,
11	technický
12	pokrok
13	je
14	plánován
15	přímo
16	koncernem
17	a
18	inovace
19	se
20	projevuje
21	spíš
22	jeho
23	dalším
24	zvětšením
25	než
26	rozšířeným
27	počtem
28	dalších
29	podniků
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	druhý	ADJ	4	dep
3	je	AUX	4	cop
4	příznačná	ADJ	0	root
5	existence	NOUN	4	nsubj
6	velkých	ADJ	9	amod
7	i	CCONJ	8	cc
8	mamutích	ADJ	6	conj
9	podniků	NOUN	5	nmod
10	,	PUNCT	14	punct
11	technický	ADJ	12	amod
12	pokrok	NOUN	14	nsubj:pass
13	je	AUX	14	aux:pass
14	plánován	ADJ	4	conj
15	přímo	ADV	16	advmod:emph
16	koncernem	NOUN	14	obl:arg
17	a	CCONJ	20	cc
18	inovace	NOUN	20	nsubj
19	se	PRON	20	expl:pv
20	projevuje	VERB	14	conj
21	spíš	ADV	20	advmod
22	jeho	DET	24	det
23	dalším	ADJ	24	amod
24	zvětšením	NOUN	20	obl
25	než	SCONJ	27	mark
26	rozšířeným	ADJ	27	amod
27	počtem	NOUN	21	advcl
28	dalších	ADJ	29	amod
29	podniků	NOUN	27	nmod
30	.	PUNCT	4	punct