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:
Tím spíše, že německý bulvární tisk zužuje problém na osud "milované marky", jež by měla být roku 1999 přinesena jako oběť na oltář společné evropské měny.
Postion	Tokenization
1	Tím
2	spíše
3	,
4	že
5	německý
6	bulvární
7	tisk
8	zužuje
9	problém
10	na
11	osud
12	"
13	milované
14	marky
15	"
16	,
17	jež
18	by
19	měla
20	být
21	roku
22	1999
23	přinesena
24	jako
25	oběť
26	na
27	oltář
28	společné
29	evropské
30	měny
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tím	DET	2	obl
2	spíše	ADV	0	root
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	německý	ADJ	7	amod
6	bulvární	ADJ	7	amod
7	tisk	NOUN	8	nsubj
8	zužuje	VERB	2	dep
9	problém	NOUN	8	obj
10	na	ADP	11	case
11	osud	NOUN	8	obl
12	"	PUNCT	14	punct
13	milované	ADJ	14	amod
14	marky	NOUN	11	nmod
15	"	PUNCT	14	punct
16	,	PUNCT	19	punct
17	jež	PRON	19	nsubj
18	by	AUX	19	aux
19	měla	VERB	14	acl:relcl
20	být	AUX	23	aux:pass
21	roku	NOUN	23	obl
22	1999	NUM	21	nummod
23	přinesena	ADJ	19	obj
24	jako	SCONJ	25	mark
25	oběť	NOUN	17	xcomp
26	na	ADP	27	case
27	oltář	NOUN	23	obl
28	společné	ADJ	30	amod
29	evropské	ADJ	30	amod
30	měny	NOUN	27	nmod
31	.	PUNCT	2	punct