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:
To se mu, mimochodem díky pochopení generála Eisenhowera, s nímž si de Gaulle vždy rozuměl lépe než s Rooseveltem, podařilo.
Postion	Tokenization
1	To
2	se
3	mu
4	,
5	mimochodem
6	díky
7	pochopení
8	generála
9	Eisenhowera
10	,
11	s
12	nímž
13	si
14	de
15	Gaulle
16	vždy
17	rozuměl
18	lépe
19	než
20	s
21	Rooseveltem
22	,
23	podařilo
24	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	23	nsubj
2	se	PRON	23	expl:pv
3	mu	PRON	23	obl:arg
4	,	PUNCT	23	punct
5	mimochodem	ADV	23	dep
6	díky	ADP	7	case
7	pochopení	NOUN	23	obl
8	generála	NOUN	7	nmod
9	Eisenhowera	PROPN	8	flat
10	,	PUNCT	17	punct
11	s	ADP	12	case
12	nímž	PRON	17	obl:arg
13	si	PRON	17	expl:pv
14	de	ADP	17	nsubj
15	Gaulle	PROPN	14	flat:foreign
16	vždy	ADV	17	advmod
17	rozuměl	VERB	8	acl:relcl
18	lépe	ADV	17	advmod
19	než	SCONJ	21	mark
20	s	ADP	21	case
21	Rooseveltem	PROPN	18	dep
22	,	PUNCT	17	punct
23	podařilo	VERB	0	root
24	.	PUNCT	23	punct