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:
Los dirigentes del club madrileño facilitaron un vídeo con los errores arbitrales más graves, que, a su juicio, han privado al equipo de tener al menos 12 puntos más.
Postion	Tokenization
1	Los
2	dirigentes
3	del
4	club
5	madrileño
6	facilitaron
7	un
8	vídeo
9	con
10	los
11	errores
12	arbitrales
13	más
14	graves
15	,
16	que
17	,
18	a
19	su
20	juicio
21	,
22	han
23	privado
24	al
25	equipo
26	de
27	tener
28	al
29	menos
30	12
31	puntos
32	más
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	dirigentes	NOUN	6	nsubj
3	del	ADP	4	case
4	club	NOUN	2	nmod
5	madrileño	ADJ	4	amod
6	facilitaron	VERB	0	root
7	un	DET	8	det
8	vídeo	NOUN	6	obj
9	con	ADP	11	case
10	los	DET	11	det
11	errores	NOUN	8	nmod
12	arbitrales	ADJ	11	amod
13	más	ADV	14	advmod
14	graves	ADJ	11	amod
15	,	PUNCT	23	punct
16	que	PRON	23	nsubj
17	,	PUNCT	20	punct
18	a	ADP	20	case
19	su	DET	20	det
20	juicio	NOUN	23	obl
21	,	PUNCT	20	punct
22	han	AUX	23	aux
23	privado	VERB	11	acl
24	al	ADP	25	case
25	equipo	NOUN	23	iobj
26	de	ADP	27	mark
27	tener	VERB	23	xcomp
28	al	ADP	31	advmod
29	menos	ADV	28	fixed
30	12	NUM	31	nummod
31	puntos	NOUN	27	obj
32	más	ADV	31	advmod
33	.	PUNCT	6	punct