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 EMPRESA Tram, que promueve el tranvía que unirá la Diagonal con el Baix Llobregat, ha firmado tres convenios con entidades bancarias por ese valor.
Postion	Tokenization
1	LA
2	EMPRESA
3	Tram
4	,
5	que
6	promueve
7	el
8	tranvía
9	que
10	unirá
11	la
12	Diagonal
13	con
14	el
15	Baix
16	Llobregat
17	,
18	ha
19	firmado
20	tres
21	convenios
22	con
23	entidades
24	bancarias
25	por
26	ese
27	valor
28	.
Position	Tokenization	UPOS	Head	Deprel
1	LA	DET	2	det
2	EMPRESA	NOUN	19	nsubj
3	Tram	PROPN	2	appos
4	,	PUNCT	6	punct
5	que	PRON	6	nsubj
6	promueve	VERB	2	acl
7	el	DET	8	det
8	tranvía	NOUN	6	obj
9	que	PRON	10	nsubj
10	unirá	VERB	8	acl
11	la	DET	12	det
12	Diagonal	PROPN	10	obj
13	con	ADP	15	case
14	el	DET	15	det
15	Baix	ADJ	10	obj
16	Llobregat	PROPN	15	flat
17	,	PUNCT	6	punct
18	ha	AUX	19	aux
19	firmado	VERB	0	root
20	tres	NUM	21	nummod
21	convenios	NOUN	19	obj
22	con	ADP	23	case
23	entidades	NOUN	21	nmod
24	bancarias	ADJ	23	amod
25	por	ADP	27	case
26	ese	DET	27	det
27	valor	NOUN	21	nmod
28	.	PUNCT	19	punct