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 delegado del Gobierno para el Plan Nacional sobre Drogas, Gonzalo Robles, destacó ayer la larga, trabajada y coordinada operación internacional.
Postion	Tokenization
1	El
2	delegado
3	del
4	Gobierno
5	para
6	el
7	Plan
8	Nacional
9	sobre
10	Drogas
11	,
12	Gonzalo
13	Robles
14	,
15	destacó
16	ayer
17	la
18	larga
19	,
20	trabajada
21	y
22	coordinada
23	operación
24	internacional
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	delegado	NOUN	15	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	para	ADP	7	case
6	el	DET	7	det
7	Plan	PROPN	2	nmod
8	Nacional	PROPN	7	flat
9	sobre	ADP	10	case
10	Drogas	PROPN	7	flat
11	,	PUNCT	12	punct
12	Gonzalo	PROPN	2	appos
13	Robles	PROPN	12	flat
14	,	PUNCT	12	punct
15	destacó	VERB	0	root
16	ayer	ADV	15	advmod
17	la	DET	23	det
18	larga	ADJ	23	amod
19	,	PUNCT	20	punct
20	trabajada	ADJ	18	advmod
21	y	CCONJ	22	cc
22	coordinada	ADJ	18	conj
23	operación	NOUN	15	obj
24	internacional	ADJ	23	amod
25	.	PUNCT	15	punct