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:
"La dimisión es consecuencia de errores que han tenido su origen en disfunciones administrativas y operativas, sin intencionalidad", afirmó ayer Martín.
Postion	Tokenization
1	"
2	La
3	dimisión
4	es
5	consecuencia
6	de
7	errores
8	que
9	han
10	tenido
11	su
12	origen
13	en
14	disfunciones
15	administrativas
16	y
17	operativas
18	,
19	sin
20	intencionalidad
21	"
22	,
23	afirmó
24	ayer
25	Martín
26	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	La	DET	3	det
3	dimisión	NOUN	5	nsubj
4	es	AUX	5	cop
5	consecuencia	NOUN	23	ccomp
6	de	ADP	7	case
7	errores	NOUN	5	nmod
8	que	PRON	10	nsubj
9	han	AUX	10	aux
10	tenido	VERB	7	acl
11	su	DET	12	det
12	origen	NOUN	10	obj
13	en	ADP	14	case
14	disfunciones	NOUN	10	obl
15	administrativas	ADJ	14	amod
16	y	CCONJ	17	cc
17	operativas	ADJ	15	conj
18	,	PUNCT	20	punct
19	sin	ADP	20	case
20	intencionalidad	NOUN	14	nmod
21	"	PUNCT	5	punct
22	,	PUNCT	5	punct
23	afirmó	VERB	0	root
24	ayer	ADV	23	advmod
25	Martín	PROPN	23	nsubj
26	.	PUNCT	23	punct