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:
El programa de Angel Casas cuenta con la colaboración de Andreu Buenafuente, que hace una versión del monólogo de Joan Capri El casament.
Postion	Tokenization
1	El
2	programa
3	de
4	Angel
5	Casas
6	cuenta
7	con
8	la
9	colaboración
10	de
11	Andreu
12	Buenafuente
13	,
14	que
15	hace
16	una
17	versión
18	del
19	monólogo
20	de
21	Joan
22	Capri
23	El
24	casament
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	programa	NOUN	6	nsubj
3	de	ADP	4	case
4	Angel	PROPN	2	nmod
5	Casas	PROPN	4	flat
6	cuenta	VERB	0	root
7	con	ADP	9	case
8	la	DET	9	det
9	colaboración	NOUN	6	obj
10	de	ADP	11	case
11	Andreu	PROPN	9	nmod
12	Buenafuente	PROPN	11	flat
13	,	PUNCT	15	punct
14	que	PRON	15	nsubj
15	hace	VERB	11	acl
16	una	DET	17	det
17	versión	NOUN	15	obj
18	del	ADP	19	case
19	monólogo	NOUN	17	nmod
20	de	ADP	21	case
21	Joan	PROPN	19	nmod
22	Capri	PROPN	21	flat
23	El	DET	24	det
24	casament	PROPN	19	appos
25	.	PUNCT	6	punct