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:
El canciller hizo una "pausa publicitaria" para promocionar el turismo en su país, y garantizó con cierto humor negro que "donde están las ballenas, los pingüinos y las cataratas, no hay caceroladas".
Postion	Tokenization
1	El
2	canciller
3	hizo
4	una
5	"
6	pausa
7	publicitaria
8	"
9	para
10	promocionar
11	el
12	turismo
13	en
14	su
15	país
16	,
17	y
18	garantizó
19	con
20	cierto
21	humor
22	negro
23	que
24	"
25	donde
26	están
27	las
28	ballenas
29	,
30	los
31	pingüinos
32	y
33	las
34	cataratas
35	,
36	no
37	hay
38	caceroladas
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	canciller	NOUN	3	nsubj
3	hizo	VERB	0	root
4	una	DET	6	det
5	"	PUNCT	6	punct
6	pausa	NOUN	3	obj
7	publicitaria	ADJ	6	amod
8	"	PUNCT	6	punct
9	para	ADP	10	mark
10	promocionar	VERB	3	advcl
11	el	DET	12	det
12	turismo	NOUN	10	obj
13	en	ADP	15	case
14	su	DET	15	det
15	país	NOUN	12	nmod
16	,	PUNCT	18	punct
17	y	CCONJ	18	cc
18	garantizó	VERB	3	conj
19	con	ADP	21	case
20	cierto	DET	21	det
21	humor	NOUN	18	obl
22	negro	ADJ	21	amod
23	que	SCONJ	37	mark
24	"	PUNCT	37	punct
25	donde	PRON	26	obl
26	están	VERB	37	advcl
27	las	DET	28	det
28	ballenas	NOUN	26	nsubj
29	,	PUNCT	31	punct
30	los	DET	31	det
31	pingüinos	NOUN	28	appos
32	y	CCONJ	34	cc
33	las	DET	34	det
34	cataratas	NOUN	28	conj
35	,	PUNCT	26	punct
36	no	ADV	37	advmod
37	hay	AUX	18	ccomp
38	caceroladas	NOUN	37	obj
39	"	PUNCT	37	punct
40	.	PUNCT	3	punct