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:
V této souvislosti naznačil, že čs. tajné služby přejdou převážně do pravomoci ČR a že všechny české tajné služby novým zákonem spojí v jednu instituci.
Postion	Tokenization
1	V
2	této
3	souvislosti
4	naznačil
5	,
6	že
7	čs
8	.
9	tajné
10	služby
11	přejdou
12	převážně
13	do
14	pravomoci
15	ČR
16	a
17	že
18	všechny
19	české
20	tajné
21	služby
22	novým
23	zákonem
24	spojí
25	v
26	jednu
27	instituci
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	této	DET	3	det
3	souvislosti	NOUN	4	obl
4	naznačil	VERB	0	root
5	,	PUNCT	11	punct
6	že	SCONJ	11	mark
7	čs	ADJ	10	amod
8	.	PUNCT	7	punct
9	tajné	ADJ	10	amod
10	služby	NOUN	11	nsubj
11	přejdou	VERB	4	ccomp
12	převážně	ADV	11	advmod
13	do	ADP	14	case
14	pravomoci	NOUN	11	obl
15	ČR	PROPN	14	nmod
16	a	CCONJ	24	cc
17	že	SCONJ	24	mark
18	všechny	DET	21	det
19	české	ADJ	21	amod
20	tajné	ADJ	21	amod
21	služby	NOUN	24	obj
22	novým	ADJ	23	amod
23	zákonem	NOUN	24	obl
24	spojí	VERB	11	conj
25	v	ADP	27	case
26	jednu	NUM	27	nummod
27	instituci	NOUN	24	obl:arg
28	.	PUNCT	4	punct