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:
Con la reorganización de las terminales se persigue una mejora de la calidad del servicio, pero el olvido de la señalización no colabora precisamente en la consecución del objetivo.
Postion	Tokenization
1	Con
2	la
3	reorganización
4	de
5	las
6	terminales
7	se
8	persigue
9	una
10	mejora
11	de
12	la
13	calidad
14	del
15	servicio
16	,
17	pero
18	el
19	olvido
20	de
21	la
22	señalización
23	no
24	colabora
25	precisamente
26	en
27	la
28	consecución
29	del
30	objetivo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	la	DET	3	det
3	reorganización	NOUN	8	obl
4	de	ADP	6	case
5	las	DET	6	det
6	terminales	NOUN	3	nmod
7	se	PRON	8	expl:pass
8	persigue	VERB	0	root
9	una	DET	10	det
10	mejora	NOUN	8	nsubj
11	de	ADP	13	case
12	la	DET	13	det
13	calidad	NOUN	10	nmod
14	del	ADP	15	case
15	servicio	NOUN	13	nmod
16	,	PUNCT	24	punct
17	pero	CCONJ	24	cc
18	el	DET	19	det
19	olvido	NOUN	24	nsubj
20	de	ADP	22	case
21	la	DET	22	det
22	señalización	NOUN	19	nmod
23	no	ADV	24	advmod
24	colabora	VERB	8	conj
25	precisamente	ADV	24	obj
26	en	ADP	25	case
27	la	DET	28	det
28	consecución	NOUN	25	nmod
29	del	ADP	30	case
30	objetivo	NOUN	28	nmod
31	.	PUNCT	8	punct