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:
K současné situaci v parlamentu předseda zelených uvedl, že se podle něho "obrušují hroty" a že i opoziční poslanci mají podle něho šanci prosadit některé své zákonné iniciativy.
Postion	Tokenization
1	K
2	současné
3	situaci
4	v
5	parlamentu
6	předseda
7	zelených
8	uvedl
9	,
10	že
11	se
12	podle
13	něho
14	"
15	obrušují
16	hroty
17	"
18	a
19	že
20	i
21	opoziční
22	poslanci
23	mají
24	podle
25	něho
26	šanci
27	prosadit
28	některé
29	své
30	zákonné
31	iniciativy
32	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	současné	ADJ	3	amod
3	situaci	NOUN	8	obl
4	v	ADP	5	case
5	parlamentu	NOUN	3	nmod
6	předseda	NOUN	8	nsubj
7	zelených	ADJ	6	amod
8	uvedl	VERB	0	root
9	,	PUNCT	15	punct
10	že	SCONJ	15	mark
11	se	PRON	15	expl:pass
12	podle	ADP	13	case
13	něho	PRON	15	obl
14	"	PUNCT	15	punct
15	obrušují	VERB	8	ccomp
16	hroty	NOUN	15	nsubj:pass
17	"	PUNCT	15	punct
18	a	CCONJ	23	cc
19	že	SCONJ	23	mark
20	i	CCONJ	21	advmod:emph
21	opoziční	ADJ	22	amod
22	poslanci	NOUN	23	nsubj
23	mají	VERB	15	conj
24	podle	ADP	25	case
25	něho	PRON	23	obl
26	šanci	NOUN	23	obj
27	prosadit	VERB	26	acl
28	některé	DET	31	det
29	své	DET	31	det
30	zákonné	ADJ	31	amod
31	iniciativy	NOUN	27	obj
32	.	PUNCT	8	punct