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 cúpula de Convergència Democràtica de Catalunya (CDC) no ve clara la oferta del posible acuerdo de gobierno con Esquerra Republicana de Catalunya (ERC).
Postion	Tokenization
1	La
2	cúpula
3	de
4	Convergència
5	Democràtica
6	de
7	Catalunya
8	(
9	CDC
10	)
11	no
12	ve
13	clara
14	la
15	oferta
16	del
17	posible
18	acuerdo
19	de
20	gobierno
21	con
22	Esquerra
23	Republicana
24	de
25	Catalunya
26	(
27	ERC
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	cúpula	NOUN	12	nsubj
3	de	ADP	4	case
4	Convergència	PROPN	2	nmod
5	Democràtica	PROPN	4	flat
6	de	ADP	7	case
7	Catalunya	PROPN	4	flat
8	(	PUNCT	9	punct
9	CDC	PROPN	4	flat
10	)	PUNCT	9	punct
11	no	ADV	12	advmod
12	ve	VERB	0	root
13	clara	ADJ	12	obj
14	la	DET	15	det
15	oferta	NOUN	12	obj
16	del	ADP	18	case
17	posible	ADJ	18	amod
18	acuerdo	NOUN	15	nmod
19	de	ADP	20	case
20	gobierno	NOUN	18	nmod
21	con	ADP	22	case
22	Esquerra	PROPN	18	nmod
23	Republicana	PROPN	22	flat
24	de	ADP	25	case
25	Catalunya	PROPN	22	flat
26	(	PUNCT	27	punct
27	ERC	PROPN	22	flat
28	)	PUNCT	27	punct
29	.	PUNCT	12	punct