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 tabla también recoge otros compuestos pomméricos como el transpobacetileno, pobfenileno o polipirrol que, sometidos al proceso de - dopado -, muestran unos valores de a próximos al de los metales.
Postion	Tokenization
1	La
2	tabla
3	también
4	recoge
5	otros
6	compuestos
7	pomméricos
8	como
9	el
10	transpobacetileno
11	,
12	pobfenileno
13	o
14	polipirrol
15	que
16	,
17	sometidos
18	al
19	proceso
20	de
21	-
22	dopado
23	-
24	,
25	muestran
26	unos
27	valores
28	de
29	a
30	próximos
31	al
32	de
33	los
34	metales
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	tabla	NOUN	4	nsubj
3	también	ADV	4	advmod
4	recoge	VERB	0	root
5	otros	DET	6	det
6	compuestos	NOUN	4	obj
7	pomméricos	ADJ	6	amod
8	como	SCONJ	10	mark
9	el	DET	10	det
10	transpobacetileno	NOUN	6	nmod
11	,	PUNCT	12	punct
12	pobfenileno	NOUN	10	conj
13	o	CCONJ	14	cc
14	polipirrol	NOUN	10	conj
15	que	PRON	25	nsubj
16	,	PUNCT	17	punct
17	sometidos	ADJ	25	advmod
18	al	ADP	19	case
19	proceso	NOUN	17	obj
20	de	ADP	22	case
21	-	PUNCT	22	punct
22	dopado	NOUN	19	nmod
23	-	PUNCT	22	punct
24	,	PUNCT	17	punct
25	muestran	VERB	10	acl
26	unos	DET	27	det
27	valores	NOUN	25	obj
28	de	ADP	29	case
29	a	NOUN	27	nmod
30	próximos	ADJ	25	obj
31	al	ADP	34	case
32	de	ADP	34	case
33	los	DET	34	det
34	metales	NOUN	30	nmod
35	.	PUNCT	4	punct