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:
Na to, aby se Zeman stal relevantní sociálnědemokratickou alternativou současné vlády, však zatím obsahuje příliš mnoho zpochybňujících prvků a vnitřních rozporů.
Postion	Tokenization
1	Na
2	to
3	,
4	aby
5	aby
6	by
7	se
8	Zeman
9	stal
10	relevantní
11	sociálnědemokratickou
12	alternativou
13	současné
14	vlády
15	,
16	však
17	zatím
18	obsahuje
19	příliš
20	mnoho
21	zpochybňujících
22	prvků
23	a
24	vnitřních
25	rozporů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	to	DET	17	obl
3	,	PUNCT	8	punct
4	aby	_	None	_
5	aby	SCONJ	8	mark
6	by	AUX	8	aux
7	se	PRON	8	expl:pv
8	Zeman	PROPN	8	nsubj
9	stal	VERB	2	acl
10	relevantní	ADJ	11	amod
11	sociálnědemokratickou	ADJ	11	amod
12	alternativou	NOUN	8	obl:arg
13	současné	ADJ	13	amod
14	vlády	NOUN	11	nmod
15	,	PUNCT	8	punct
16	však	CCONJ	17	cc
17	zatím	ADV	17	advmod
18	obsahuje	VERB	0	root
19	příliš	ADV	19	advmod
20	mnoho	DET	21	det:numgov
21	zpochybňujících	ADJ	21	amod
22	prvků	NOUN	17	obj
23	a	CCONJ	24	cc
24	vnitřních	ADJ	24	amod
25	rozporů	NOUN	21	conj
26	.	PUNCT	17	punct