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:
Por su parte, la Asociación Nacional de Empresas de Seguros (Ania), negó que haya existido un cártel ni que se hayan acordado los precios de las pólizas de seguros.
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	la
6	Asociación
7	Nacional
8	de
9	Empresas
10	de
11	Seguros
12	(
13	Ania
14	)
15	,
16	negó
17	que
18	haya
19	existido
20	un
21	cártel
22	ni
23	que
24	se
25	hayan
26	acordado
27	los
28	precios
29	de
30	las
31	pólizas
32	de
33	seguros
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	16	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	Asociación	PROPN	16	nsubj
7	Nacional	PROPN	6	flat
8	de	ADP	9	case
9	Empresas	PROPN	6	flat
10	de	ADP	11	case
11	Seguros	PROPN	6	flat
12	(	PUNCT	13	punct
13	Ania	PROPN	6	flat
14	)	PUNCT	13	punct
15	,	PUNCT	6	punct
16	negó	VERB	0	root
17	que	SCONJ	19	mark
18	haya	AUX	19	aux
19	existido	VERB	16	ccomp
20	un	DET	21	det
21	cártel	NOUN	19	nsubj
22	ni	CCONJ	26	cc
23	que	SCONJ	26	mark
24	se	PRON	26	expl:pass
25	hayan	AUX	26	aux
26	acordado	VERB	19	conj
27	los	DET	28	det
28	precios	NOUN	26	nsubj
29	de	ADP	31	case
30	las	DET	31	det
31	pólizas	NOUN	28	nmod
32	de	ADP	33	case
33	seguros	NOUN	31	nmod
34	.	PUNCT	16	punct