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 mayoría de los incumplimientos han sido cometidos por extranjeros que desconocen o no respetan la normativa española.
Postion	Tokenization
1	La
2	mayoría
3	de
4	los
5	incumplimientos
6	han
7	sido
8	cometidos
9	por
10	extranjeros
11	que
12	desconocen
13	o
14	no
15	respetan
16	la
17	normativa
18	española
19	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	mayoría	NOUN	5	nmod
3	de	ADP	2	case
4	los	DET	2	det
5	incumplimientos	NOUN	8	nsubj
6	han	AUX	8	aux
7	sido	AUX	8	aux
8	cometidos	VERB	0	root
9	por	ADP	10	case
10	extranjeros	NOUN	8	obj
11	que	PRON	12	nsubj
12	desconocen	VERB	10	acl
13	o	CCONJ	15	cc
14	no	ADV	15	advmod
15	respetan	VERB	12	conj
16	la	DET	17	det
17	normativa	NOUN	12	obj
18	española	ADJ	17	amod
19	.	PUNCT	8	punct