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 pasado lunes, un grupo de obreros de Cellatex arrojó unos 5.000 litros de ácido sulfúrico a una vía de agua que lleva al río Mosa.
Postion	Tokenization
1	El
2	pasado
3	lunes
4	,
5	un
6	grupo
7	de
8	obreros
9	de
10	Cellatex
11	arrojó
12	unos
13	5.000
14	litros
15	de
16	ácido
17	sulfúrico
18	a
19	una
20	vía
21	de
22	agua
23	que
24	lleva
25	al
26	río
27	Mosa
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	lunes	NOUN	11	obl
4	,	PUNCT	3	punct
5	un	DET	6	det
6	grupo	NOUN	11	nsubj
7	de	ADP	8	case
8	obreros	NOUN	6	nmod
9	de	ADP	10	case
10	Cellatex	PROPN	6	nmod
11	arrojó	VERB	0	root
12	unos	PRON	13	nmod
13	5.000	NUM	14	nummod
14	litros	NOUN	11	obj
15	de	ADP	16	case
16	ácido	NOUN	14	nmod
17	sulfúrico	ADJ	16	amod
18	a	ADP	20	case
19	una	DET	20	det
20	vía	NOUN	11	obl
21	de	ADP	22	case
22	agua	NOUN	20	nmod
23	que	PRON	24	nsubj
24	lleva	VERB	20	acl
25	al	ADP	26	case
26	río	NOUN	24	obj
27	Mosa	PROPN	26	appos
28	.	PUNCT	11	punct