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:
La Direcció General de Ports i Transports de la Generalitat aprobó ayer la prolongación de la línea 5 del metro de Barcelona entre las estaciones de Horta y Vall d'Hebron.
Postion	Tokenization
1	La
2	Direcció
3	General
4	de
5	Ports
6	i
7	Transports
8	de
9	la
10	Generalitat
11	aprobó
12	ayer
13	la
14	prolongación
15	de
16	la
17	línea
18	5
19	del
20	metro
21	de
22	Barcelona
23	entre
24	las
25	estaciones
26	de
27	Horta
28	y
29	Vall
30	d'Hebron
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Direcció	PROPN	11	nsubj
3	General	PROPN	2	flat
4	de	ADP	5	case
5	Ports	PROPN	2	flat
6	i	CCONJ	7	cc
7	Transports	PROPN	2	conj
8	de	ADP	10	case
9	la	DET	10	det
10	Generalitat	PROPN	2	flat
11	aprobó	VERB	0	root
12	ayer	ADV	11	advmod
13	la	DET	14	det
14	prolongación	NOUN	11	obj
15	de	ADP	17	case
16	la	DET	17	det
17	línea	NOUN	14	nmod
18	5	NUM	17	appos
19	del	ADP	20	case
20	metro	NOUN	17	nmod
21	de	ADP	22	case
22	Barcelona	PROPN	20	nmod
23	entre	ADP	25	case
24	las	DET	25	det
25	estaciones	NOUN	14	nmod
26	de	ADP	27	case
27	Horta	PROPN	25	nmod
28	y	CCONJ	29	cc
29	Vall	PROPN	27	conj
30	d'Hebron	PROPN	29	flat
31	.	PUNCT	11	punct