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:
Alcober añade que el distrito mantiene conversaciones con Renfe para que la compañía modernice el cambio de agujas, "que parece ser que es lo que más molesta", si bien se mantiene el soterramiento de las vías.
Postion	Tokenization
1	Alcober
2	añade
3	que
4	el
5	distrito
6	mantiene
7	conversaciones
8	con
9	Renfe
10	para
11	que
12	la
13	compañía
14	modernice
15	el
16	cambio
17	de
18	agujas
19	,
20	"
21	que
22	parece
23	ser
24	que
25	es
26	lo
27	que
28	más
29	molesta
30	"
31	,
32	si
33	bien
34	se
35	mantiene
36	el
37	soterramiento
38	de
39	las
40	vías
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Alcober	PROPN	2	nsubj
2	añade	VERB	0	root
3	que	SCONJ	6	mark
4	el	DET	5	det
5	distrito	NOUN	6	nsubj
6	mantiene	VERB	2	ccomp
7	conversaciones	NOUN	6	obj
8	con	ADP	9	case
9	Renfe	PROPN	7	nmod
10	para	ADP	14	mark
11	que	SCONJ	14	mark
12	la	DET	13	det
13	compañía	NOUN	14	nsubj
14	modernice	VERB	7	acl
15	el	DET	16	det
16	cambio	NOUN	14	obj
17	de	ADP	18	case
18	agujas	NOUN	16	nmod
19	,	PUNCT	22	punct
20	"	PUNCT	22	punct
21	que	PRON	22	nsubj
22	parece	VERB	16	acl
23	ser	AUX	22	xcomp
24	que	SCONJ	26	mark
25	es	AUX	26	cop
26	lo	PRON	23	xcomp
27	que	PRON	29	nsubj
28	más	ADV	29	advmod
29	molesta	VERB	26	acl
30	"	PUNCT	22	punct
31	,	PUNCT	22	punct
32	si	SCONJ	35	mark
33	bien	ADV	32	fixed
34	se	PRON	35	expl:pass
35	mantiene	VERB	14	advcl
36	el	DET	37	det
37	soterramiento	NOUN	35	nsubj
38	de	ADP	40	case
39	las	DET	40	det
40	vías	NOUN	37	nmod
41	.	PUNCT	2	punct