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:
Ayer confirmó a este diario que le sorprendió la actitud del dirigente blanco, que le llegó a acusar de cobardía.
Postion	Tokenization
1	Ayer
2	confirmó
3	a
4	este
5	diario
6	que
7	le
8	sorprendió
9	la
10	actitud
11	del
12	dirigente
13	blanco
14	,
15	que
16	le
17	llegó
18	a
19	acusar
20	de
21	cobardía
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayer	ADV	2	advmod
2	confirmó	VERB	0	root
3	a	ADP	5	case
4	este	DET	5	det
5	diario	NOUN	2	iobj
6	que	SCONJ	8	mark
7	le	PRON	8	obj
8	sorprendió	VERB	2	ccomp
9	la	DET	10	det
10	actitud	NOUN	8	nsubj
11	del	ADP	12	case
12	dirigente	NOUN	10	nmod
13	blanco	ADJ	12	amod
14	,	PUNCT	17	punct
15	que	PRON	17	nsubj
16	le	PRON	19	obj
17	llegó	VERB	12	acl
18	a	ADP	19	mark
19	acusar	VERB	17	xcomp
20	de	ADP	21	case
21	cobardía	NOUN	19	obj
22	.	PUNCT	2	punct