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:
I když jsem neměl šanci, je dobré, že byl východoněmecký kandidát vůbec při tom jako další alternativa, zamýšlí se Jens Reich nad svým neúspěchem.
Postion	Tokenization
1	I
2	když
3	jsem
4	neměl
5	šanci
6	,
7	je
8	dobré
9	,
10	že
11	byl
12	východoněmecký
13	kandidát
14	vůbec
15	při
16	tom
17	jako
18	další
19	alternativa
20	,
21	zamýšlí
22	se
23	Jens
24	Reich
25	nad
26	svým
27	neúspěchem
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	4	mark
2	když	SCONJ	1	fixed
3	jsem	AUX	4	aux
4	neměl	VERB	8	advcl
5	šanci	NOUN	4	obj
6	,	PUNCT	8	punct
7	je	AUX	8	cop
8	dobré	ADJ	0	root
9	,	PUNCT	11	punct
10	že	SCONJ	11	mark
11	byl	VERB	8	csubj
12	východoněmecký	ADJ	13	amod
13	kandidát	NOUN	11	nsubj
14	vůbec	ADV	11	advmod:emph
15	při	ADP	16	case
16	tom	DET	11	obl
17	jako	SCONJ	19	mark
18	další	ADJ	19	amod
19	alternativa	NOUN	13	xcomp
20	,	PUNCT	21	punct
21	zamýšlí	VERB	8	conj
22	se	PRON	21	expl:pv
23	Jens	PROPN	21	nsubj
24	Reich	PROPN	23	flat
25	nad	ADP	27	case
26	svým	DET	27	det
27	neúspěchem	NOUN	21	obl:arg
28	.	PUNCT	8	punct