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 hecho más relevante del ejercicio fue, según Zabalza, que la compañía presentó "una auditoría limpia por primera vez desde su constitución en 1989", acuerdo con la Administración para liquidar las deudas.
Postion	Tokenization
1	El
2	hecho
3	más
4	relevante
5	del
6	ejercicio
7	fue
8	,
9	según
10	Zabalza
11	,
12	que
13	la
14	compañía
15	presentó
16	"
17	una
18	auditoría
19	limpia
20	por
21	primera
22	vez
23	desde
24	su
25	constitución
26	en
27	1989
28	"
29	,
30	acuerdo
31	con
32	la
33	Administración
34	para
35	liquidar
36	las
37	deudas
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	hecho	NOUN	7	nsubj
3	más	ADV	4	advmod
4	relevante	ADJ	2	amod
5	del	ADP	6	case
6	ejercicio	NOUN	2	nmod
7	fue	AUX	0	root
8	,	PUNCT	10	punct
9	según	ADP	10	case
10	Zabalza	PROPN	7	obl
11	,	PUNCT	10	punct
12	que	SCONJ	15	mark
13	la	DET	14	det
14	compañía	NOUN	15	nsubj
15	presentó	VERB	7	ccomp
16	"	PUNCT	15	punct
17	una	DET	18	det
18	auditoría	NOUN	15	obj
19	limpia	ADJ	18	amod
20	por	ADP	22	case
21	primera	ADJ	22	amod
22	vez	NOUN	15	obl
23	desde	ADP	25	case
24	su	DET	25	det
25	constitución	NOUN	22	nmod
26	en	ADP	27	case
27	1989	NOUN	25	nmod
28	"	PUNCT	15	punct
29	,	PUNCT	30	punct
30	acuerdo	NOUN	7	dep
31	con	ADP	33	case
32	la	DET	33	det
33	Administración	PROPN	30	nmod
34	para	ADP	35	mark
35	liquidar	VERB	30	acl
36	las	DET	37	det
37	deudas	NOUN	35	obj
38	.	PUNCT	7	punct