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:
Jeho spolucestující Dagmar J.(39) se i přes těžké zranění podařilo doplazit k silnici, kde ji projíždějící řidiči spatřili a přivolali policii.
Postion	Tokenization
1	Jeho
2	spolucestující
3	Dagmar
4	J
5	.
6	(
7	39
8	)
9	se
10	i
11	přes
12	těžké
13	zranění
14	podařilo
15	doplazit
16	k
17	silnici
18	,
19	kde
20	ji
21	projíždějící
22	řidiči
23	spatřili
24	a
25	přivolali
26	policii
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	2	det
2	spolucestující	NOUN	3	nmod
3	Dagmar	PROPN	14	obj
4	J	PROPN	3	flat
5	.	PUNCT	3	punct
6	(	PUNCT	3	punct
7	39	NUM	3	dep
8	)	PUNCT	3	punct
9	se	PRON	14	expl:pv
10	i	CCONJ	13	advmod:emph
11	přes	ADP	13	case
12	těžké	ADJ	13	amod
13	zranění	NOUN	14	obl
14	podařilo	VERB	0	root
15	doplazit	VERB	14	csubj
16	k	ADP	17	case
17	silnici	NOUN	15	obl
18	,	PUNCT	23	punct
19	kde	ADV	23	advmod
20	ji	PRON	23	obj
21	projíždějící	ADJ	22	amod
22	řidiči	NOUN	23	nsubj
23	spatřili	VERB	17	acl:relcl
24	a	CCONJ	25	cc
25	přivolali	VERB	23	conj
26	policii	NOUN	25	obj
27	.	PUNCT	14	punct