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:
Protivníci nového hnutí "využívají přítomnosti Talibanu k odmítnutí mírového procesu," řekl tento týden při odletu z Kábulu zklamaný zmocněnec OSN pro Afghánistán Mahmúd Mastírí.
Postion	Tokenization
1	Protivníci
2	nového
3	hnutí
4	"
5	využívají
6	přítomnosti
7	Talibanu
8	k
9	odmítnutí
10	mírového
11	procesu
12	,
13	"
14	řekl
15	tento
16	týden
17	při
18	odletu
19	z
20	Kábulu
21	zklamaný
22	zmocněnec
23	OSN
24	pro
25	Afghánistán
26	Mahmúd
27	Mastírí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Protivníci	NOUN	5	nsubj
2	nového	ADJ	3	amod
3	hnutí	NOUN	1	nmod
4	"	PUNCT	5	punct
5	využívají	VERB	14	ccomp
6	přítomnosti	NOUN	5	obl:arg
7	Talibanu	PROPN	6	nmod
8	k	ADP	9	case
9	odmítnutí	NOUN	5	obl
10	mírového	ADJ	11	amod
11	procesu	NOUN	9	nmod
12	,	PUNCT	5	punct
13	"	PUNCT	5	punct
14	řekl	VERB	0	root
15	tento	DET	16	det
16	týden	NOUN	14	obl
17	při	ADP	18	case
18	odletu	NOUN	14	obl
19	z	ADP	20	case
20	Kábulu	PROPN	18	nmod
21	zklamaný	ADJ	22	amod
22	zmocněnec	NOUN	14	nsubj
23	OSN	PROPN	22	nmod
24	pro	ADP	25	case
25	Afghánistán	PROPN	22	nmod
26	Mahmúd	PROPN	22	flat
27	Mastírí	PROPN	22	flat
28	.	PUNCT	14	punct