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:
Štěstí je vrtkavé, rychle vymáhá zpět, co dalo, mohl by si stěžovat generál Rašíd Dóstum, který drží velkou část severovýchodního Afghánistánu.
Postion	Tokenization
1	Štěstí
2	je
3	vrtkavé
4	,
5	rychle
6	vymáhá
7	zpět
8	,
9	co
10	dalo
11	,
12	mohl
13	by
14	si
15	stěžovat
16	generál
17	Rašíd
18	Dóstum
19	,
20	který
21	drží
22	velkou
23	část
24	severovýchodního
25	Afghánistánu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Štěstí	NOUN	3	nsubj
2	je	AUX	3	cop
3	vrtkavé	ADJ	15	advcl
4	,	PUNCT	6	punct
5	rychle	ADV	6	advmod
6	vymáhá	VERB	3	conj
7	zpět	ADV	6	advmod
8	,	PUNCT	10	punct
9	co	PRON	10	obj
10	dalo	VERB	6	ccomp
11	,	PUNCT	12	punct
12	mohl	VERB	0	root
13	by	AUX	12	aux
14	si	PRON	15	expl:pv
15	stěžovat	VERB	12	xcomp
16	generál	NOUN	12	nsubj
17	Rašíd	PROPN	16	flat
18	Dóstum	PROPN	16	flat
19	,	PUNCT	21	punct
20	který	DET	21	nsubj
21	drží	VERB	16	acl:relcl
22	velkou	ADJ	23	amod
23	část	NOUN	21	obj
24	severovýchodního	ADJ	25	amod
25	Afghánistánu	PROPN	23	nmod
26	.	PUNCT	12	punct