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 Poder Judicial informó ayer contra la petición del empresario, que reclama 100.000 millones por la dilación de 16 años del caso Rumasa.
Postion	Tokenization
1	El
2	Poder
3	Judicial
4	informó
5	ayer
6	contra
7	la
8	petición
9	del
10	empresario
11	,
12	que
13	reclama
14	100.000
15	millones
16	por
17	la
18	dilación
19	de
20	16
21	años
22	del
23	caso
24	Rumasa
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Poder	PROPN	4	nsubj
3	Judicial	PROPN	2	flat
4	informó	VERB	0	root
5	ayer	ADV	4	advmod
6	contra	ADP	8	case
7	la	DET	8	det
8	petición	NOUN	4	obl
9	del	ADP	10	case
10	empresario	NOUN	8	nmod
11	,	PUNCT	13	punct
12	que	PRON	13	nsubj
13	reclama	VERB	10	acl
14	100.000	NUM	15	nummod
15	millones	NOUN	13	obj
16	por	ADP	18	case
17	la	DET	18	det
18	dilación	NOUN	13	obl
19	de	ADP	21	case
20	16	NUM	21	nummod
21	años	NOUN	18	nmod
22	del	ADP	23	case
23	caso	NOUN	18	nmod
24	Rumasa	PROPN	23	appos
25	.	PUNCT	4	punct