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:
Pero se mostró cauto sobre la cantidad de droga que viajaba en el barco y advirtió de que las cifras definitivas no se conocerán posiblemente hasta el lunes.
Postion	Tokenization
1	Pero
2	se
3	mostró
4	cauto
5	sobre
6	la
7	cantidad
8	de
9	droga
10	que
11	viajaba
12	en
13	el
14	barco
15	y
16	advirtió
17	de
18	que
19	las
20	cifras
21	definitivas
22	no
23	se
24	conocerán
25	posiblemente
26	hasta
27	el
28	lunes
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	3	advmod
2	se	PRON	3	expl:pv
3	mostró	VERB	0	root
4	cauto	ADJ	3	obj
5	sobre	ADP	7	case
6	la	DET	7	det
7	cantidad	NOUN	3	obl
8	de	ADP	9	case
9	droga	NOUN	7	nmod
10	que	PRON	11	nsubj
11	viajaba	VERB	7	acl
12	en	ADP	14	case
13	el	DET	14	det
14	barco	NOUN	11	obl
15	y	CCONJ	16	cc
16	advirtió	VERB	3	conj
17	de	ADP	24	mark
18	que	SCONJ	24	mark
19	las	DET	20	det
20	cifras	NOUN	24	nsubj
21	definitivas	ADJ	20	amod
22	no	ADV	24	advmod
23	se	PRON	24	expl:pass
24	conocerán	VERB	16	ccomp
25	posiblemente	ADV	24	advmod
26	hasta	ADP	28	case
27	el	DET	28	det
28	lunes	NOUN	24	obl
29	.	PUNCT	3	punct