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:
Obě mocnosti jsou stále dostatečně silné, aby se mohly pokusit žít na vlastní pěst, nemají však tolik síly, aby vyrovnaly německý vliv.
Postion	Tokenization
1	Obě
2	mocnosti
3	jsou
4	stále
5	dostatečně
6	silné
7	,
8	aby
9	aby
10	by
11	se
12	mohly
13	pokusit
14	žít
15	na
16	vlastní
17	pěst
18	,
19	nemají
20	však
21	tolik
22	síly
23	,
24	aby
25	aby
26	by
27	vyrovnaly
28	německý
29	vliv
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Obě	NUM	2	nummod
2	mocnosti	NOUN	6	nsubj
3	jsou	AUX	6	cop
4	stále	ADV	6	advmod
5	dostatečně	ADV	6	advmod
6	silné	ADJ	0	root
7	,	PUNCT	11	punct
8	aby	_	None	_
9	aby	SCONJ	11	mark
10	by	AUX	11	aux
11	se	PRON	12	expl:pv
12	mohly	VERB	6	advcl
13	pokusit	VERB	11	xcomp
14	žít	VERB	12	xcomp
15	na	ADP	16	case
16	vlastní	ADJ	16	amod
17	pěst	NOUN	13	obl
18	,	PUNCT	18	punct
19	nemají	VERB	6	conj
20	však	CCONJ	18	cc
21	tolik	DET	21	det:numgov
22	síly	NOUN	18	obj
23	,	PUNCT	25	punct
24	aby	_	None	_
25	aby	SCONJ	25	mark
26	by	AUX	25	aux
27	vyrovnaly	VERB	18	advcl
28	německý	ADJ	27	amod
29	vliv	NOUN	25	obj
30	.	PUNCT	6	punct