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:
Unos 30 autobuses ayudaron en algunos puntos de la red ferroviaria a agilizar el servicio o a cubrir el tramo entre Sant Vicenç de Calders (Baix Penedès) y Tarragona.
Postion	Tokenization
1	Unos
2	30
3	autobuses
4	ayudaron
5	en
6	algunos
7	puntos
8	de
9	la
10	red
11	ferroviaria
12	a
13	agilizar
14	el
15	servicio
16	o
17	a
18	cubrir
19	el
20	tramo
21	entre
22	Sant
23	Vicenç
24	de
25	Calders
26	(
27	Baix
28	Penedès
29	)
30	y
31	Tarragona
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Unos	PRON	2	nmod
2	30	NUM	3	nummod
3	autobuses	NOUN	4	nsubj
4	ayudaron	VERB	0	root
5	en	ADP	7	case
6	algunos	DET	7	det
7	puntos	NOUN	4	obl
8	de	ADP	10	case
9	la	DET	10	det
10	red	NOUN	7	nmod
11	ferroviaria	ADJ	10	amod
12	a	ADP	13	mark
13	agilizar	VERB	4	xcomp
14	el	DET	15	det
15	servicio	NOUN	13	obj
16	o	CCONJ	18	cc
17	a	ADP	18	mark
18	cubrir	VERB	13	conj
19	el	DET	20	det
20	tramo	NOUN	18	obj
21	entre	ADP	22	case
22	Sant	PROPN	20	nmod
23	Vicenç	PROPN	22	flat
24	de	ADP	25	case
25	Calders	PROPN	22	flat
26	(	PUNCT	27	punct
27	Baix	ADJ	22	flat
28	Penedès	PROPN	27	flat
29	)	PUNCT	27	punct
30	y	CCONJ	31	cc
31	Tarragona	PROPN	22	conj
32	.	PUNCT	4	punct