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:
Další pumové atentáty na banky a jiné objekty v Londýně tento pocit pouze posílily - zvláště vzhledem k hospodářské krizi, v níž se Británie už třetí rok zmítá.
Postion	Tokenization
1	Další
2	pumové
3	atentáty
4	na
5	banky
6	a
7	jiné
8	objekty
9	v
10	Londýně
11	tento
12	pocit
13	pouze
14	posílily
15	-
16	zvláště
17	vzhledem
18	k
19	hospodářské
20	krizi
21	,
22	v
23	níž
24	se
25	Británie
26	už
27	třetí
28	rok
29	zmítá
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Další	ADJ	3	amod
2	pumové	ADJ	3	amod
3	atentáty	NOUN	14	nsubj
4	na	ADP	5	case
5	banky	NOUN	3	nmod
6	a	CCONJ	8	cc
7	jiné	ADJ	8	amod
8	objekty	NOUN	5	conj
9	v	ADP	10	case
10	Londýně	PROPN	8	nmod
11	tento	DET	12	det
12	pocit	NOUN	14	obj
13	pouze	ADV	14	advmod:emph
14	posílily	VERB	0	root
15	-	PUNCT	20	punct
16	zvláště	ADV	20	advmod:emph
17	vzhledem	ADP	20	case
18	k	ADP	17	fixed
19	hospodářské	ADJ	20	amod
20	krizi	NOUN	14	obl
21	,	PUNCT	29	punct
22	v	ADP	23	case
23	níž	PRON	29	obl
24	se	PRON	29	expl:pv
25	Británie	PROPN	29	nsubj
26	už	ADV	28	advmod:emph
27	třetí	ADJ	28	amod
28	rok	NOUN	29	obl
29	zmítá	VERB	20	acl:relcl
30	.	PUNCT	14	punct