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:
Snahy Severního Kypru přimknout se blíže k Turecku včera podpořil šéf turecké diplomacie M. Soysal, zdůraznil však, že Ankara nemíní Severokyperskou republiku anektovat.
Postion	Tokenization
1	Snahy
2	Severního
3	Kypru
4	přimknout
5	se
6	blíže
7	k
8	Turecku
9	včera
10	podpořil
11	šéf
12	turecké
13	diplomacie
14	M
15	.
16	Soysal
17	,
18	zdůraznil
19	však
20	,
21	že
22	Ankara
23	nemíní
24	Severokyperskou
25	republiku
26	anektovat
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Snahy	NOUN	10	obj
2	Severního	ADJ	3	amod
3	Kypru	PROPN	1	nmod
4	přimknout	VERB	1	acl
5	se	PRON	4	expl:pv
6	blíže	ADV	4	advmod
7	k	ADP	8	case
8	Turecku	PROPN	6	obl
9	včera	ADV	10	advmod
10	podpořil	VERB	0	root
11	šéf	NOUN	10	nsubj
12	turecké	ADJ	13	amod
13	diplomacie	NOUN	11	nmod
14	M	PROPN	11	flat
15	.	PUNCT	14	punct
16	Soysal	PROPN	11	flat
17	,	PUNCT	18	punct
18	zdůraznil	VERB	10	conj
19	však	CCONJ	18	cc
20	,	PUNCT	23	punct
21	že	SCONJ	23	mark
22	Ankara	PROPN	23	nsubj
23	nemíní	VERB	18	ccomp
24	Severokyperskou	ADJ	25	amod
25	republiku	NOUN	26	obj
26	anektovat	VERB	23	xcomp
27	.	PUNCT	10	punct