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:
Přinejmenším měsíc se bude muset FC Barcelona obejít bez Rumuna Gheorgha Hagiho (33), fotbalista utrpěl při tréninku svalové zranění na levé noze.
Postion	Tokenization
1	Přinejmenším
2	měsíc
3	se
4	bude
5	muset
6	FC
7	Barcelona
8	obejít
9	bez
10	Rumuna
11	Gheorgha
12	Hagiho
13	(
14	33
15	)
16	,
17	fotbalista
18	utrpěl
19	při
20	tréninku
21	svalové
22	zranění
23	na
24	levé
25	noze
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Přinejmenším	ADV	2	advmod:emph
2	měsíc	NOUN	5	obl
3	se	PRON	8	expl:pv
4	bude	AUX	5	aux
5	muset	VERB	0	root
6	FC	PROPN	5	nsubj
7	Barcelona	PROPN	6	nmod
8	obejít	VERB	5	xcomp
9	bez	ADP	10	case
10	Rumuna	PROPN	8	obl:arg
11	Gheorgha	PROPN	10	flat
12	Hagiho	PROPN	10	flat
13	(	PUNCT	10	punct
14	33	NUM	10	dep
15	)	PUNCT	10	punct
16	,	PUNCT	18	punct
17	fotbalista	NOUN	18	nsubj
18	utrpěl	VERB	5	conj
19	při	ADP	20	case
20	tréninku	NOUN	18	obl
21	svalové	ADJ	22	amod
22	zranění	NOUN	18	obj
23	na	ADP	25	case
24	levé	ADJ	25	amod
25	noze	NOUN	22	nmod
26	.	PUNCT	5	punct