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:
No queremos caer en los errores de CiU, por eso el PP no pretende excluir a aquellos que no coincidan con una forma de entender Catalunya ni monopolizar el diálogo.
Postion	Tokenization
1	No
2	queremos
3	caer
4	en
5	los
6	errores
7	de
8	CiU
9	,
10	por
11	eso
12	el
13	PP
14	no
15	pretende
16	excluir
17	a
18	aquellos
19	que
20	no
21	coincidan
22	con
23	una
24	forma
25	de
26	entender
27	Catalunya
28	ni
29	monopolizar
30	el
31	diálogo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	queremos	VERB	0	root
3	caer	VERB	2	xcomp
4	en	ADP	6	case
5	los	DET	6	det
6	errores	NOUN	3	obl
7	de	ADP	8	case
8	CiU	PROPN	6	nmod
9	,	PUNCT	2	punct
10	por	ADP	11	case
11	eso	PRON	15	obl
12	el	DET	13	det
13	PP	PROPN	15	nsubj
14	no	ADV	15	advmod
15	pretende	VERB	2	advcl
16	excluir	VERB	15	xcomp
17	a	ADP	18	case
18	aquellos	PRON	16	obj
19	que	PRON	21	nsubj
20	no	ADV	21	advmod
21	coincidan	VERB	18	acl
22	con	ADP	24	case
23	una	DET	24	det
24	forma	NOUN	21	obj
25	de	ADP	26	mark
26	entender	VERB	24	acl
27	Catalunya	PROPN	26	obj
28	ni	CCONJ	29	cc
29	monopolizar	VERB	16	conj
30	el	DET	31	det
31	diálogo	NOUN	29	obj
32	.	PUNCT	2	punct