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:
Zároveň musí být CSU společně se sesterskou CDU natolik silná, aby se bez nich nedalo v Bonnu po celoněmeckých říjnových volbách vládnout, konstatoval Waigel.
Postion	Tokenization
1	Zároveň
2	musí
3	být
4	CSU
5	společně
6	se
7	sesterskou
8	CDU
9	natolik
10	silná
11	,
12	aby
13	aby
14	by
15	se
16	bez
17	nich
18	nedalo
19	v
20	Bonnu
21	po
22	celoněmeckých
23	říjnových
24	volbách
25	vládnout
26	,
27	konstatoval
28	Waigel
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zároveň	ADV	2	advmod
2	musí	VERB	26	ccomp
3	být	AUX	10	cop
4	CSU	PROPN	2	nsubj
5	společně	ADV	8	case
6	se	ADP	5	fixed
7	sesterskou	ADJ	8	amod
8	CDU	PROPN	2	obl
9	natolik	ADV	10	advmod
10	silná	ADJ	2	xcomp
11	,	PUNCT	17	punct
12	aby	_	None	_
13	aby	SCONJ	17	mark
14	by	AUX	17	aux
15	se	PRON	17	expl:pass
16	bez	ADP	16	case
17	nich	PRON	17	obl
18	nedalo	VERB	2	advcl
19	v	ADP	19	case
20	Bonnu	PROPN	17	obl
21	po	ADP	23	case
22	celoněmeckých	ADJ	23	amod
23	říjnových	ADJ	23	amod
24	volbách	NOUN	17	obl
25	vládnout	VERB	17	csubj:pass
26	,	PUNCT	2	punct
27	konstatoval	VERB	0	root
28	Waigel	PROPN	26	nsubj
29	.	PUNCT	26	punct