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 información fue proporcionada ayer por la segunda cadena de televisión pública (ZDF), a la que Weyrauch dijo: "Ahora se verá sacudida la república y luego sucederá lo mismo con Europa".
Postion	Tokenization
1	La
2	información
3	fue
4	proporcionada
5	ayer
6	por
7	la
8	segunda
9	cadena
10	de
11	televisión
12	pública
13	(
14	ZDF
15	)
16	,
17	a
18	la
19	que
20	Weyrauch
21	dijo
22	:
23	"
24	Ahora
25	se
26	verá
27	sacudida
28	la
29	república
30	y
31	luego
32	sucederá
33	lo
34	mismo
35	con
36	Europa
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	información	NOUN	4	nsubj
3	fue	AUX	4	aux
4	proporcionada	VERB	0	root
5	ayer	ADV	4	advmod
6	por	ADP	9	case
7	la	DET	9	det
8	segunda	ADJ	9	amod
9	cadena	NOUN	4	obj
10	de	ADP	11	case
11	televisión	NOUN	9	nmod
12	pública	ADJ	11	amod
13	(	PUNCT	14	punct
14	ZDF	PROPN	9	appos
15	)	PUNCT	14	punct
16	,	PUNCT	21	punct
17	a	ADP	19	case
18	la	DET	19	det
19	que	PRON	21	iobj
20	Weyrauch	PROPN	21	nsubj
21	dijo	VERB	9	acl
22	:	PUNCT	26	punct
23	"	PUNCT	26	punct
24	Ahora	ADV	26	advmod
25	se	PRON	26	expl:pv
26	verá	VERB	21	ccomp
27	sacudida	ADJ	26	obj
28	la	DET	29	det
29	república	NOUN	26	nsubj
30	y	CCONJ	32	cc
31	luego	ADV	32	advmod
32	sucederá	VERB	26	conj
33	lo	PRON	34	det
34	mismo	ADJ	32	nsubj
35	con	ADP	36	case
36	Europa	PROPN	32	obl
37	"	PUNCT	26	punct
38	.	PUNCT	4	punct