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:
Posledních asi tisíc ruských vojáků včera v kasárnách v Berlíně-Karlshorstu intenzivně nacvičovalo oficiální přehlídku, jíž se dnes rozloučí s Německem.
Postion	Tokenization
1	Posledních
2	asi
3	tisíc
4	ruských
5	vojáků
6	včera
7	v
8	kasárnách
9	v
10	Berlíně
11	-
12	Karlshorstu
13	intenzivně
14	nacvičovalo
15	oficiální
16	přehlídku
17	,
18	jíž
19	se
20	dnes
21	rozloučí
22	s
23	Německem
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Posledních	ADJ	5	amod
2	asi	PART	3	advmod:emph
3	tisíc	NOUN	14	nsubj
4	ruských	ADJ	5	amod
5	vojáků	NOUN	3	nmod
6	včera	ADV	14	advmod
7	v	ADP	8	case
8	kasárnách	NOUN	14	obl
9	v	ADP	10	case
10	Berlíně	PROPN	8	nmod
11	-	PUNCT	12	punct
12	Karlshorstu	PROPN	10	nmod
13	intenzivně	ADV	14	advmod
14	nacvičovalo	VERB	0	root
15	oficiální	ADJ	16	amod
16	přehlídku	NOUN	14	obj
17	,	PUNCT	21	punct
18	jíž	PRON	21	obl
19	se	PRON	21	expl:pv
20	dnes	ADV	21	advmod
21	rozloučí	VERB	16	acl:relcl
22	s	ADP	23	case
23	Německem	PROPN	21	obl:arg
24	.	PUNCT	14	punct