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 problema - dice Planelles - radica en los plazos de seguridad, que nunca son iguales para un lugar que para otro, ya que la degradación se ve condicionada por la situación meteorológica, pero yo apuesto que no son más de un cinco por ciento de agricultores en Almería los que no cumplen totalmente las normativas".
Postion	Tokenization
1	"
2	El
3	problema
4	-
5	dice
6	Planelles
7	-
8	radica
9	en
10	los
11	plazos
12	de
13	seguridad
14	,
15	que
16	nunca
17	son
18	iguales
19	para
20	un
21	lugar
22	que
23	para
24	otro
25	,
26	ya
27	que
28	la
29	degradación
30	se
31	ve
32	condicionada
33	por
34	la
35	situación
36	meteorológica
37	,
38	pero
39	yo
40	apuesto
41	que
42	no
43	son
44	más
45	de
46	un
47	cinco
48	por
49	ciento
50	de
51	agricultores
52	en
53	Almería
54	los
55	que
56	no
57	cumplen
58	totalmente
59	las
60	normativas
61	"
62	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	El	DET	3	det
3	problema	NOUN	8	nsubj
4	-	PUNCT	5	punct
5	dice	VERB	8	parataxis
6	Planelles	PROPN	5	nsubj
7	-	PUNCT	5	punct
8	radica	VERB	0	root
9	en	ADP	11	case
10	los	DET	11	det
11	plazos	NOUN	8	obj
12	de	ADP	13	case
13	seguridad	NOUN	11	nmod
14	,	PUNCT	18	punct
15	que	PRON	18	nsubj
16	nunca	ADV	18	advmod
17	son	AUX	18	cop
18	iguales	ADJ	11	acl
19	para	ADP	21	case
20	un	DET	21	det
21	lugar	NOUN	18	obl
22	que	SCONJ	24	mark
23	para	ADP	24	case
24	otro	PRON	18	obl
25	,	PUNCT	31	punct
26	ya	ADV	31	mark
27	que	SCONJ	26	fixed
28	la	DET	29	det
29	degradación	NOUN	31	nsubj
30	se	PRON	31	expl:pv
31	ve	VERB	18	advcl
32	condicionada	ADJ	31	obj
33	por	ADP	35	case
34	la	DET	35	det
35	situación	NOUN	32	obj
36	meteorológica	ADJ	35	amod
37	,	PUNCT	40	punct
38	pero	CCONJ	40	cc
39	yo	PRON	40	nsubj
40	apuesto	VERB	8	conj
41	que	SCONJ	51	mark
42	no	ADV	51	advmod
43	son	AUX	51	cop
44	más	ADV	47	advmod
45	de	ADP	47	case
46	un	PRON	47	nmod
47	cinco	NUM	51	nummod
48	por	ADP	49	case
49	ciento	NUM	47	compound
50	de	ADP	47	case
51	agricultores	NOUN	40	ccomp
52	en	ADP	53	case
53	Almería	PROPN	51	obl
54	los	DET	57	det
55	que	PRON	57	nsubj
56	no	ADV	57	advmod
57	cumplen	VERB	51	csubj
58	totalmente	ADV	57	advmod
59	las	DET	60	det
60	normativas	NOUN	57	obj
61	"	PUNCT	8	punct
62	.	PUNCT	8	punct