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:
Původně ji měl absolvovat Dough Weight (Edmonton), který se však v utkání zranil a byl převezen na ošetření do nemocnice.
Postion	Tokenization
1	Původně
2	ji
3	měl
4	absolvovat
5	Dough
6	Weight
7	(
8	Edmonton
9	)
10	,
11	který
12	se
13	však
14	v
15	utkání
16	zranil
17	a
18	byl
19	převezen
20	na
21	ošetření
22	do
23	nemocnice
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Původně	ADV	3	advmod
2	ji	PRON	4	obj
3	měl	VERB	0	root
4	absolvovat	VERB	3	xcomp
5	Dough	PROPN	3	nsubj
6	Weight	PROPN	5	flat
7	(	PUNCT	5	punct
8	Edmonton	PROPN	5	dep
9	)	PUNCT	5	punct
10	,	PUNCT	16	punct
11	který	DET	16	nsubj
12	se	PRON	16	expl:pv
13	však	CCONJ	16	cc
14	v	ADP	15	case
15	utkání	NOUN	16	obl
16	zranil	VERB	5	acl:relcl
17	a	CCONJ	19	cc
18	byl	AUX	19	aux:pass
19	převezen	ADJ	16	conj
20	na	ADP	21	case
21	ošetření	NOUN	19	obl
22	do	ADP	23	case
23	nemocnice	NOUN	19	obl
24	.	PUNCT	3	punct