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:
Catalunya está descubriendo - - y nosotros también, lo confieso - - que se puede influir tanto o más desde el Parlament como desde el Govern.
Postion	Tokenization
1	Catalunya
2	está
3	descubriendo
4	-
5	-
6	y
7	nosotros
8	también
9	,
10	lo
11	confieso
12	-
13	-
14	que
15	se
16	puede
17	influir
18	tanto
19	o
20	más
21	desde
22	el
23	Parlament
24	como
25	desde
26	el
27	Govern
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Catalunya	PROPN	3	nsubj
2	está	AUX	3	aux
3	descubriendo	VERB	0	root
4	-	PUNCT	7	punct
5	-	PUNCT	7	punct
6	y	CCONJ	7	advmod
7	nosotros	PRON	3	dep
8	también	ADV	7	advmod
9	,	PUNCT	7	punct
10	lo	PRON	11	obj
11	confieso	VERB	7	acl
12	-	PUNCT	7	punct
13	-	PUNCT	7	punct
14	que	SCONJ	17	mark
15	se	PRON	17	expl:impers
16	puede	AUX	17	aux
17	influir	VERB	3	xcomp
18	tanto	ADV	17	advmod
19	o	CCONJ	20	cc
20	más	ADV	18	conj
21	desde	ADP	18	case
22	el	DET	23	det
23	Parlament	PROPN	18	nmod
24	como	SCONJ	27	mark
25	desde	ADP	27	case
26	el	DET	27	det
27	Govern	PROPN	18	obl
28	.	PUNCT	3	punct