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:
Podle výkonného prezidenta firmy NEC H. Sasakiho se nová paměť DRAM uplatní především v multimediálních terminálech napojených na kabelové sítě a v příští generaci počítačů třídy notebook.
Postion	Tokenization
1	Podle
2	výkonného
3	prezidenta
4	firmy
5	NEC
6	H
7	.
8	Sasakiho
9	se
10	nová
11	paměť
12	DRAM
13	uplatní
14	především
15	v
16	multimediálních
17	terminálech
18	napojených
19	na
20	kabelové
21	sítě
22	a
23	v
24	příští
25	generaci
26	počítačů
27	třídy
28	notebook
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	výkonného	ADJ	3	amod
3	prezidenta	NOUN	13	obl
4	firmy	NOUN	3	nmod
5	NEC	PROPN	4	nmod
6	H	PROPN	3	flat
7	.	PUNCT	6	punct
8	Sasakiho	PROPN	3	flat
9	se	PRON	13	expl:pv
10	nová	ADJ	11	amod
11	paměť	NOUN	13	nsubj
12	DRAM	NOUN	11	nmod
13	uplatní	VERB	0	root
14	především	ADV	17	advmod:emph
15	v	ADP	17	case
16	multimediálních	ADJ	17	amod
17	terminálech	NOUN	13	obl
18	napojených	ADJ	17	amod
19	na	ADP	21	case
20	kabelové	ADJ	21	amod
21	sítě	NOUN	18	obl
22	a	CCONJ	25	cc
23	v	ADP	25	case
24	příští	ADJ	25	amod
25	generaci	NOUN	17	conj
26	počítačů	NOUN	25	nmod
27	třídy	NOUN	26	nmod
28	notebook	NOUN	27	nmod
29	.	PUNCT	13	punct