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:
Preguntado por los reporteros de la ZDZ sobre si sus palabras eran una amenaza, Weyrauch agregó que su opinión era tan sólo "una constatación de hechos de un especialista".
Postion	Tokenization
1	Preguntado
2	por
3	los
4	reporteros
5	de
6	la
7	ZDZ
8	sobre
9	si
10	sus
11	palabras
12	eran
13	una
14	amenaza
15	,
16	Weyrauch
17	agregó
18	que
19	su
20	opinión
21	era
22	tan
23	sólo
24	"
25	una
26	constatación
27	de
28	hechos
29	de
30	un
31	especialista
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Preguntado	ADJ	16	amod
2	por	ADP	4	case
3	los	DET	4	det
4	reporteros	NOUN	1	obj
5	de	ADP	7	case
6	la	DET	7	det
7	ZDZ	PROPN	4	nmod
8	sobre	ADP	14	mark
9	si	SCONJ	14	mark
10	sus	DET	11	det
11	palabras	NOUN	14	nsubj
12	eran	AUX	14	cop
13	una	DET	14	det
14	amenaza	NOUN	1	ccomp
15	,	PUNCT	1	punct
16	Weyrauch	PROPN	17	nsubj
17	agregó	VERB	0	root
18	que	SCONJ	26	mark
19	su	DET	20	det
20	opinión	NOUN	26	nsubj
21	era	AUX	26	cop
22	tan	NOUN	26	advmod
23	sólo	ADV	22	fixed
24	"	PUNCT	26	punct
25	una	DET	26	det
26	constatación	NOUN	17	ccomp
27	de	ADP	28	case
28	hechos	NOUN	26	nmod
29	de	ADP	31	case
30	un	DET	31	det
31	especialista	NOUN	26	nmod
32	"	PUNCT	26	punct
33	.	PUNCT	17	punct