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 carguero, con bandera de Santo Tomé, salió del delta del Orinoco el 16 de agosto, cargado con "al menos cinco toneladas de cocaína", según el delegado del Plan Nacional sobre Drogas, Gonzalo Robles.
Postion	Tokenization
1	El
2	carguero
3	,
4	con
5	bandera
6	de
7	Santo
8	Tomé
9	,
10	salió
11	del
12	delta
13	del
14	Orinoco
15	el
16	16
17	de
18	agosto
19	,
20	cargado
21	con
22	"
23	al
24	menos
25	cinco
26	toneladas
27	de
28	cocaína
29	"
30	,
31	según
32	el
33	delegado
34	del
35	Plan
36	Nacional
37	sobre
38	Drogas
39	,
40	Gonzalo
41	Robles
42	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	carguero	NOUN	10	nsubj
3	,	PUNCT	5	punct
4	con	ADP	5	case
5	bandera	NOUN	2	nmod
6	de	ADP	7	case
7	Santo	PROPN	5	nmod
8	Tomé	PROPN	7	flat
9	,	PUNCT	5	punct
10	salió	VERB	0	root
11	del	ADP	12	case
12	delta	NOUN	10	obl
13	del	ADP	14	case
14	Orinoco	PROPN	12	nmod
15	el	DET	16	det
16	16	NUM	10	obl
17	de	ADP	18	case
18	agosto	NOUN	16	compound
19	,	PUNCT	20	punct
20	cargado	ADJ	10	obj
21	con	ADP	26	case
22	"	PUNCT	26	punct
23	al	ADP	26	advmod
24	menos	ADV	23	fixed
25	cinco	NUM	26	nummod
26	toneladas	NOUN	20	obl
27	de	ADP	28	case
28	cocaína	NOUN	26	nmod
29	"	PUNCT	26	punct
30	,	PUNCT	33	punct
31	según	ADP	33	case
32	el	DET	33	det
33	delegado	NOUN	10	obl
34	del	ADP	35	case
35	Plan	PROPN	33	nmod
36	Nacional	PROPN	35	flat
37	sobre	ADP	38	case
38	Drogas	PROPN	35	flat
39	,	PUNCT	40	punct
40	Gonzalo	PROPN	33	appos
41	Robles	PROPN	40	flat
42	.	PUNCT	10	punct