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:
Salen muchos de todas las televisiones no públicas (Buenafuente, Paco, El Gran Wyoming, Manuel Fuentes, Pablo Carbonell, Máximo Pradera, Pepe Navarro, pero Segura se ha agenciado otros invitados.
Postion	Tokenization
1	Salen
2	muchos
3	de
4	todas
5	las
6	televisiones
7	no
8	públicas
9	(
10	Buenafuente
11	,
12	Paco
13	,
14	El
15	Gran
16	Wyoming
17	,
18	Manuel
19	Fuentes
20	,
21	Pablo
22	Carbonell
23	,
24	Máximo
25	Pradera
26	,
27	Pepe
28	Navarro
29	,
30	pero
31	Segura
32	se
33	ha
34	agenciado
35	otros
36	invitados
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Salen	VERB	0	root
2	muchos	PRON	1	nsubj
3	de	ADP	6	case
4	todas	DET	5	det
5	las	DET	6	det
6	televisiones	NOUN	2	nmod
7	no	ADV	8	advmod
8	públicas	ADJ	6	amod
9	(	PUNCT	10	punct
10	Buenafuente	PROPN	2	appos
11	,	PUNCT	12	punct
12	Paco	PROPN	10	conj
13	,	PUNCT	15	punct
14	El	DET	15	det
15	Gran	ADJ	10	conj
16	Wyoming	PROPN	15	flat
17	,	PUNCT	18	punct
18	Manuel	PROPN	10	conj
19	Fuentes	PROPN	18	flat
20	,	PUNCT	21	punct
21	Pablo	PROPN	10	conj
22	Carbonell	PROPN	21	flat
23	,	PUNCT	24	punct
24	Máximo	PROPN	10	conj
25	Pradera	PROPN	24	flat
26	,	PUNCT	27	punct
27	Pepe	PROPN	10	conj
28	Navarro	PROPN	27	flat
29	,	PUNCT	34	punct
30	pero	CCONJ	34	cc
31	Segura	PROPN	34	nsubj
32	se	PRON	34	iobj
33	ha	AUX	34	aux
34	agenciado	VERB	1	conj
35	otros	DET	36	det
36	invitados	NOUN	34	obj
37	.	PUNCT	1	punct