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:
Po studiu se stal nejprve tajemníkem organizace PSDS na vysoké škole pro plánování a statistiku a poté byl v letech 1977 až 1981 členem štábu ÚV PSDS pro ideologické vzdělávání.
Postion	Tokenization
1	Po
2	studiu
3	se
4	stal
5	nejprve
6	tajemníkem
7	organizace
8	PSDS
9	na
10	vysoké
11	škole
12	pro
13	plánování
14	a
15	statistiku
16	a
17	poté
18	byl
19	v
20	letech
21	1977
22	až
23	1981
24	členem
25	štábu
26	ÚV
27	PSDS
28	pro
29	ideologické
30	vzdělávání
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	studiu	NOUN	4	obl
3	se	PRON	4	expl:pv
4	stal	VERB	0	root
5	nejprve	ADV	4	advmod
6	tajemníkem	NOUN	4	obl:arg
7	organizace	NOUN	6	nmod
8	PSDS	PROPN	7	nmod
9	na	ADP	11	case
10	vysoké	ADJ	11	amod
11	škole	NOUN	6	nmod
12	pro	ADP	13	case
13	plánování	NOUN	11	nmod
14	a	CCONJ	15	cc
15	statistiku	NOUN	13	conj
16	a	CCONJ	24	cc
17	poté	ADV	24	advmod
18	byl	AUX	24	cop
19	v	ADP	20	case
20	letech	NOUN	24	obl
21	1977	NUM	20	nummod
22	až	CCONJ	23	cc
23	1981	NUM	21	conj
24	členem	NOUN	4	conj
25	štábu	NOUN	24	nmod
26	ÚV	NOUN	25	nmod
27	PSDS	PROPN	26	nmod
28	pro	ADP	30	case
29	ideologické	ADJ	30	amod
30	vzdělávání	NOUN	26	nmod
31	.	PUNCT	4	punct