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:
Ne tak kvůli ní samé, jako kvůli ekonomické i politické transformaci, jíž je garantem a která tou dobou ještě nebude zcela u konce.
Postion	Tokenization
1	Ne
2	tak
3	kvůli
4	ní
5	samé
6	,
7	jako
8	kvůli
9	ekonomické
10	i
11	politické
12	transformaci
13	,
14	jíž
15	je
16	garantem
17	a
18	která
19	tou
20	dobou
21	ještě
22	nebude
23	zcela
24	u
25	konce
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ne	PART	2	advmod:emph
2	tak	ADV	0	root
3	kvůli	ADP	4	case
4	ní	PRON	2	dep
5	samé	PRON	4	xcomp
6	,	PUNCT	12	punct
7	jako	SCONJ	12	mark
8	kvůli	ADP	12	case
9	ekonomické	ADJ	12	amod
10	i	CCONJ	11	cc
11	politické	ADJ	9	conj
12	transformaci	NOUN	2	dep
13	,	PUNCT	16	punct
14	jíž	PRON	16	nmod
15	je	AUX	16	cop
16	garantem	NOUN	12	acl:relcl
17	a	CCONJ	22	cc
18	která	DET	22	nsubj
19	tou	DET	20	det
20	dobou	NOUN	22	obl
21	ještě	ADV	22	advmod
22	nebude	VERB	16	conj
23	zcela	ADV	22	advmod
24	u	ADP	25	case
25	konce	NOUN	22	obl
26	.	PUNCT	2	punct