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:
S obsahem dopisu, ale zejména s obsahem odpovědi M. Kováče na něj, vyjádřila koalice ostrý nesouhlas na lednovém zasedání parlamentu.
Postion	Tokenization
1	S
2	obsahem
3	dopisu
4	,
5	ale
6	zejména
7	s
8	obsahem
9	odpovědi
10	M
11	.
12	Kováče
13	na
14	něj
15	,
16	vyjádřila
17	koalice
18	ostrý
19	nesouhlas
20	na
21	lednovém
22	zasedání
23	parlamentu
24	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	2	case
2	obsahem	NOUN	19	nmod
3	dopisu	NOUN	2	nmod
4	,	PUNCT	8	punct
5	ale	CCONJ	8	cc
6	zejména	ADV	8	advmod:emph
7	s	ADP	8	case
8	obsahem	NOUN	2	conj
9	odpovědi	NOUN	8	nmod
10	M	PROPN	9	nmod
11	.	PUNCT	10	punct
12	Kováče	PROPN	10	flat
13	na	ADP	14	case
14	něj	PRON	9	nmod
15	,	PUNCT	2	punct
16	vyjádřila	VERB	0	root
17	koalice	NOUN	16	nsubj
18	ostrý	ADJ	19	amod
19	nesouhlas	NOUN	16	obj
20	na	ADP	22	case
21	lednovém	ADJ	22	amod
22	zasedání	NOUN	16	obl
23	parlamentu	NOUN	22	nmod
24	.	PUNCT	16	punct