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:
Nejprve pracovala ve volebním štábu neúspěšného prezidentského kandidáta Edmunda Muskieho, potom v Bílém domě, kde pomáhala za Carterovy éry svému univerzitnímu učiteli Brzezinskému v Národní bezpečnostní radě.
Postion	Tokenization
1	Nejprve
2	pracovala
3	ve
4	volebním
5	štábu
6	neúspěšného
7	prezidentského
8	kandidáta
9	Edmunda
10	Muskieho
11	_
12	,
13	potom
14	v
15	Bílém
16	domě
17	,
18	kde
19	pomáhala
20	za
21	Carterovy
22	éry
23	svému
24	univerzitnímu
25	učiteli
26	Brzezinskému
27	v
28	Národní
29	bezpečnostní
30	radě
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejprve	ADV	2	advmod
2	pracovala	VERB	0	root
3	ve	ADP	5	case
4	volebním	ADJ	5	amod
5	štábu	NOUN	2	obl
6	neúspěšného	ADJ	8	amod
7	prezidentského	ADJ	8	amod
8	kandidáta	NOUN	5	nmod
9	Edmunda	PROPN	8	flat
10	Muskieho	PROPN	8	flat
11	_	_	None	_
12	,	PUNCT	12	punct
13	potom	ADV	2	conj
14	v	ADP	15	case
15	Bílém	ADJ	15	amod
16	domě	NOUN	12	orphan
17	,	PUNCT	18	punct
18	kde	ADV	18	advmod
19	pomáhala	VERB	15	acl:relcl
20	za	ADP	21	case
21	Carterovy	ADJ	21	amod
22	éry	NOUN	18	obl
23	svému	DET	24	det
24	univerzitnímu	ADJ	24	amod
25	učiteli	NOUN	18	obl:arg
26	Brzezinskému	PROPN	24	flat
27	v	ADP	29	case
28	Národní	ADJ	29	amod
29	bezpečnostní	ADJ	29	amod
30	radě	NOUN	18	obl
31	.	PUNCT	2	punct