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:
Desde ayer, el país árabe ha incrementado la extracción de crudo en 116.800 barriles, en aplicación de las recientes decisiones de la Organización de Países Exportadores de Petróleo (OPEP), según el diario Entejob.
Postion	Tokenization
1	Desde
2	ayer
3	,
4	el
5	país
6	árabe
7	ha
8	incrementado
9	la
10	extracción
11	de
12	crudo
13	en
14	116.800
15	barriles
16	,
17	en
18	aplicación
19	de
20	las
21	recientes
22	decisiones
23	de
24	la
25	Organización
26	de
27	Países
28	Exportadores
29	de
30	Petróleo
31	(
32	OPEP
33	)
34	,
35	según
36	el
37	diario
38	Entejob
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	2	case
2	ayer	ADV	8	advmod
3	,	PUNCT	2	punct
4	el	DET	5	det
5	país	NOUN	8	nsubj
6	árabe	ADJ	5	amod
7	ha	AUX	8	aux
8	incrementado	VERB	0	root
9	la	DET	10	det
10	extracción	NOUN	8	obj
11	de	ADP	12	case
12	crudo	NOUN	10	nmod
13	en	ADP	15	case
14	116.800	NUM	15	nummod
15	barriles	NOUN	8	obl
16	,	PUNCT	18	punct
17	en	ADP	18	case
18	aplicación	NOUN	8	obl
19	de	ADP	22	case
20	las	DET	22	det
21	recientes	ADJ	22	amod
22	decisiones	NOUN	18	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	Organización	PROPN	22	nmod
26	de	ADP	27	case
27	Países	PROPN	25	flat
28	Exportadores	PROPN	27	flat
29	de	ADP	30	case
30	Petróleo	PROPN	27	flat
31	(	PUNCT	32	punct
32	OPEP	PROPN	25	flat
33	)	PUNCT	32	punct
34	,	PUNCT	37	punct
35	según	ADP	37	case
36	el	DET	37	det
37	diario	NOUN	8	obl
38	Entejob	PROPN	37	appos
39	.	PUNCT	8	punct