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:
Es natural: como en TV-3 no le sacan ni queriendo, para una vez que le llama TVE, pues, francamente, ha tenido una alegría.
Postion	Tokenization
1	Es
2	natural
3	:
4	como
5	en
6	TV-3
7	no
8	le
9	sacan
10	ni
11	queriendo
12	,
13	para
14	una
15	vez
16	que
17	le
18	llama
19	TVE
20	,
21	pues
22	,
23	francamente
24	,
25	ha
26	tenido
27	una
28	alegría
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	2	cop
2	natural	ADJ	0	root
3	:	PUNCT	26	punct
4	como	SCONJ	9	mark
5	en	ADP	6	case
6	TV-3	PROPN	9	obl
7	no	ADV	9	advmod
8	le	PRON	9	obj
9	sacan	VERB	26	advcl
10	ni	ADV	11	advmod
11	queriendo	VERB	9	advcl
12	,	PUNCT	9	punct
13	para	ADP	15	case
14	una	DET	15	det
15	vez	NOUN	26	obl
16	que	PRON	18	obl
17	le	PRON	18	obj
18	llama	VERB	15	acl
19	TVE	PROPN	18	nsubj
20	,	PUNCT	15	punct
21	pues	SCONJ	26	mark
22	,	PUNCT	23	punct
23	francamente	ADV	26	advmod
24	,	PUNCT	23	punct
25	ha	AUX	26	aux
26	tenido	VERB	2	advcl
27	una	DET	28	det
28	alegría	NOUN	26	obj
29	.	PUNCT	2	punct