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 combustible salido de la refinería de Altona, en el estado de Victoria, dificulta el funcionamiento de los motores y, en ocasiones, llega a causar que dejen de funcionar.
Postion	Tokenization
1	El
2	combustible
3	salido
4	de
5	la
6	refinería
7	de
8	Altona
9	,
10	en
11	el
12	estado
13	de
14	Victoria
15	,
16	dificulta
17	el
18	funcionamiento
19	de
20	los
21	motores
22	y
23	,
24	en
25	ocasiones
26	,
27	llega
28	a
29	causar
30	que
31	dejen
32	de
33	funcionar
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	combustible	NOUN	16	nsubj
3	salido	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	refinería	NOUN	3	obl
7	de	ADP	8	case
8	Altona	PROPN	6	nmod
9	,	PUNCT	12	punct
10	en	ADP	12	case
11	el	DET	12	det
12	estado	NOUN	6	nmod
13	de	ADP	14	case
14	Victoria	PROPN	12	nmod
15	,	PUNCT	12	punct
16	dificulta	VERB	0	root
17	el	DET	18	det
18	funcionamiento	NOUN	16	obj
19	de	ADP	21	case
20	los	DET	21	det
21	motores	NOUN	18	nmod
22	y	CCONJ	27	cc
23	,	PUNCT	25	punct
24	en	ADP	25	case
25	ocasiones	NOUN	27	obl
26	,	PUNCT	25	punct
27	llega	VERB	16	conj
28	a	ADP	29	mark
29	causar	VERB	27	xcomp
30	que	SCONJ	31	mark
31	dejen	VERB	29	xcomp
32	de	ADP	33	mark
33	funcionar	VERB	31	xcomp
34	.	PUNCT	16	punct