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:
La empresa Mobil, con negocios petrolíferos en doscientos países de todo el mundo, distribuyó fuel contaminado 100/130 entre el 21 de noviembre y el 23 de diciembre pasados, según las autoridades.
Postion	Tokenization
1	La
2	empresa
3	Mobil
4	,
5	con
6	negocios
7	petrolíferos
8	en
9	doscientos
10	países
11	de
12	todo
13	el
14	mundo
15	,
16	distribuyó
17	fuel
18	contaminado
19	100/130
20	entre
21	el
22	21
23	de
24	noviembre
25	y
26	el
27	23
28	de
29	diciembre
30	pasados
31	,
32	según
33	las
34	autoridades
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	empresa	NOUN	16	nsubj
3	Mobil	PROPN	2	appos
4	,	PUNCT	6	punct
5	con	ADP	6	case
6	negocios	NOUN	2	nmod
7	petrolíferos	ADJ	6	amod
8	en	ADP	10	case
9	doscientos	NUM	10	nummod
10	países	NOUN	6	nmod
11	de	ADP	14	case
12	todo	DET	13	det
13	el	DET	14	det
14	mundo	NOUN	10	nmod
15	,	PUNCT	6	punct
16	distribuyó	VERB	0	root
17	fuel	NOUN	16	obj
18	contaminado	ADJ	17	amod
19	100/130	NUM	17	appos
20	entre	ADP	22	case
21	el	DET	22	det
22	21	NUM	16	obl
23	de	ADP	24	case
24	noviembre	NOUN	22	compound
25	y	CCONJ	27	cc
26	el	DET	27	det
27	23	NUM	22	conj
28	de	ADP	29	case
29	diciembre	NOUN	27	compound
30	pasados	ADJ	22	amod
31	,	PUNCT	34	punct
32	según	ADP	34	case
33	las	DET	34	det
34	autoridades	NOUN	16	obl
35	.	PUNCT	16	punct