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:
La oposición ha iniciado "una rebelión histórica contra el fraude" con concentraciones diarias en las plazas de Belgrado y otras ciudades serbias y con el paro de escuelas, universidades, tráfico, fábricas y teatros.
Postion	Tokenization
1	La
2	oposición
3	ha
4	iniciado
5	"
6	una
7	rebelión
8	histórica
9	contra
10	el
11	fraude
12	"
13	con
14	concentraciones
15	diarias
16	en
17	las
18	plazas
19	de
20	Belgrado
21	y
22	otras
23	ciudades
24	serbias
25	y
26	con
27	el
28	paro
29	de
30	escuelas
31	,
32	universidades
33	,
34	tráfico
35	,
36	fábricas
37	y
38	teatros
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	oposición	NOUN	4	nsubj
3	ha	AUX	4	aux
4	iniciado	VERB	0	root
5	"	PUNCT	7	punct
6	una	DET	7	det
7	rebelión	NOUN	4	obj
8	histórica	ADJ	7	amod
9	contra	ADP	11	case
10	el	DET	11	det
11	fraude	NOUN	7	nmod
12	"	PUNCT	7	punct
13	con	ADP	14	case
14	concentraciones	NOUN	4	obl
15	diarias	ADJ	14	amod
16	en	ADP	18	case
17	las	DET	18	det
18	plazas	NOUN	14	nmod
19	de	ADP	20	case
20	Belgrado	PROPN	18	nmod
21	y	CCONJ	23	cc
22	otras	DET	23	det
23	ciudades	NOUN	20	conj
24	serbias	ADJ	23	amod
25	y	CCONJ	28	cc
26	con	ADP	28	case
27	el	DET	28	det
28	paro	NOUN	14	conj
29	de	ADP	30	case
30	escuelas	NOUN	28	nmod
31	,	PUNCT	32	punct
32	universidades	NOUN	30	conj
33	,	PUNCT	34	punct
34	tráfico	NOUN	30	conj
35	,	PUNCT	36	punct
36	fábricas	NOUN	30	conj
37	y	CCONJ	38	cc
38	teatros	NOUN	30	conj
39	.	PUNCT	4	punct