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:
Un agujero de unos 80 centímetros de diámetro en el puente de la N-2 en Bàscara ha obligado a cortar un carril durante un kilómetro y controlar el tráfico con semáforos.
Postion	Tokenization
1	Un
2	agujero
3	de
4	unos
5	80
6	centímetros
7	de
8	diámetro
9	en
10	el
11	puente
12	de
13	la
14	N-2
15	en
16	Bàscara
17	ha
18	obligado
19	a
20	cortar
21	un
22	carril
23	durante
24	un
25	kilómetro
26	y
27	controlar
28	el
29	tráfico
30	con
31	semáforos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	agujero	NOUN	18	nsubj
3	de	ADP	6	case
4	unos	PRON	5	nmod
5	80	NUM	6	nummod
6	centímetros	NOUN	2	nmod
7	de	ADP	8	case
8	diámetro	NOUN	6	nmod
9	en	ADP	11	case
10	el	DET	11	det
11	puente	NOUN	2	nmod
12	de	ADP	14	case
13	la	DET	14	det
14	N-2	PROPN	11	nmod
15	en	ADP	16	case
16	Bàscara	PROPN	14	nmod
17	ha	AUX	18	aux
18	obligado	VERB	0	root
19	a	ADP	20	mark
20	cortar	VERB	18	xcomp
21	un	DET	22	det
22	carril	NOUN	20	obj
23	durante	ADP	25	case
24	un	DET	25	det
25	kilómetro	NOUN	20	obl
26	y	CCONJ	27	cc
27	controlar	VERB	20	conj
28	el	DET	29	det
29	tráfico	NOUN	27	obj
30	con	ADP	31	case
31	semáforos	NOUN	27	obl
32	.	PUNCT	18	punct