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:
Los vecinos del distrito de Sant Martí acogen con ilusión la apertura del último tramo de la Diagonal, aunque admiten que todavía quedan cosas por hacer.
Postion	Tokenization
1	Los
2	vecinos
3	del
4	distrito
5	de
6	Sant
7	Martí
8	acogen
9	con
10	ilusión
11	la
12	apertura
13	del
14	último
15	tramo
16	de
17	la
18	Diagonal
19	,
20	aunque
21	admiten
22	que
23	todavía
24	quedan
25	cosas
26	por
27	hacer
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	vecinos	NOUN	8	nsubj
3	del	ADP	4	case
4	distrito	NOUN	2	nmod
5	de	ADP	6	case
6	Sant	PROPN	4	nmod
7	Martí	PROPN	6	flat
8	acogen	VERB	0	root
9	con	ADP	10	case
10	ilusión	NOUN	8	obl
11	la	DET	12	det
12	apertura	NOUN	8	obj
13	del	ADP	15	case
14	último	ADJ	15	amod
15	tramo	NOUN	12	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	Diagonal	PROPN	15	nmod
19	,	PUNCT	21	punct
20	aunque	SCONJ	21	mark
21	admiten	VERB	8	advcl
22	que	SCONJ	24	mark
23	todavía	ADV	24	advmod
24	quedan	VERB	21	ccomp
25	cosas	NOUN	24	nsubj
26	por	ADP	27	mark
27	hacer	VERB	25	acl
28	.	PUNCT	8	punct