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:
Ve Spolkovém sněmu si Jens Reich připadal jako cizinec, jak se později přiznal v tisku poté, co po prvním kole stáhl kandidaturu.
Postion	Tokenization
1	Ve
2	Spolkovém
3	sněmu
4	si
5	Jens
6	Reich
7	připadal
8	jako
9	cizinec
10	,
11	jak
12	se
13	později
14	přiznal
15	v
16	tisku
17	poté
18	,
19	co
20	po
21	prvním
22	kole
23	stáhl
24	kandidaturu
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	3	case
2	Spolkovém	ADJ	3	amod
3	sněmu	NOUN	7	obl
4	si	PRON	7	expl:pv
5	Jens	PROPN	7	nsubj
6	Reich	PROPN	5	flat
7	připadal	VERB	0	root
8	jako	SCONJ	9	mark
9	cizinec	NOUN	7	obj
10	,	PUNCT	14	punct
11	jak	ADV	14	advmod
12	se	PRON	14	expl:pv
13	později	ADV	14	advmod
14	přiznal	VERB	7	parataxis
15	v	ADP	16	case
16	tisku	NOUN	14	obl
17	poté	ADV	14	advmod
18	,	PUNCT	23	punct
19	co	SCONJ	23	mark
20	po	ADP	22	case
21	prvním	ADJ	22	amod
22	kole	NOUN	23	obl
23	stáhl	VERB	14	advcl
24	kandidaturu	NOUN	23	obj
25	.	PUNCT	7	punct