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:
* V čem je vaše situace v Tatře stejná a v čem se liší od situace, v níž jste se nacházel před lety u Chryslera?
Postion	Tokenization
1	*
2	V
3	čem
4	je
5	vaše
6	situace
7	v
8	Tatře
9	stejná
10	a
11	v
12	čem
13	se
14	liší
15	od
16	situace
17	,
18	v
19	níž
20	jste
21	se
22	nacházel
23	před
24	lety
25	u
26	Chryslera
27	?
Position	Tokenization	UPOS	Head	Deprel
1	*	PUNCT	9	punct
2	V	ADP	3	case
3	čem	PRON	9	obl:arg
4	je	AUX	9	cop
5	vaše	DET	6	det
6	situace	NOUN	9	nsubj
7	v	ADP	8	case
8	Tatře	PROPN	6	nmod
9	stejná	ADJ	0	root
10	a	CCONJ	14	cc
11	v	ADP	12	case
12	čem	PRON	14	obl:arg
13	se	PRON	14	expl:pv
14	liší	VERB	9	conj
15	od	ADP	16	case
16	situace	NOUN	14	obl:arg
17	,	PUNCT	22	punct
18	v	ADP	19	case
19	níž	PRON	22	obl
20	jste	AUX	22	aux
21	se	PRON	22	expl:pv
22	nacházel	VERB	16	acl:relcl
23	před	ADP	24	case
24	lety	NOUN	22	obl
25	u	ADP	26	case
26	Chryslera	PROPN	22	obl
27	?	PUNCT	9	punct