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 compañía espera que muchas de las personas que actualmente utilizan la estación de Diagonal para transbordar a la línea 5, lo hagan en el futuro intercambiador de la Vall d'Hebron.
Postion	Tokenization
1	La
2	compañía
3	espera
4	que
5	muchas
6	de
7	las
8	personas
9	que
10	actualmente
11	utilizan
12	la
13	estación
14	de
15	Diagonal
16	para
17	transbordar
18	a
19	la
20	línea
21	5
22	,
23	lo
24	hagan
25	en
26	el
27	futuro
28	intercambiador
29	de
30	la
31	Vall
32	d'Hebron
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	compañía	NOUN	3	nsubj
3	espera	VERB	0	root
4	que	SCONJ	24	mark
5	muchas	PRON	24	nsubj
6	de	ADP	8	case
7	las	DET	8	det
8	personas	NOUN	5	nmod
9	que	PRON	11	nsubj
10	actualmente	ADV	11	advmod
11	utilizan	VERB	5	acl
12	la	DET	13	det
13	estación	NOUN	11	obj
14	de	ADP	15	case
15	Diagonal	PROPN	13	nmod
16	para	ADP	17	mark
17	transbordar	VERB	11	advcl
18	a	ADP	20	case
19	la	DET	20	det
20	línea	NOUN	17	obl
21	5	NUM	20	appos
22	,	PUNCT	11	punct
23	lo	PRON	24	obj
24	hagan	VERB	3	ccomp
25	en	ADP	27	case
26	el	DET	27	det
27	futuro	ADJ	24	advmod
28	intercambiador	ADJ	27	amod
29	de	ADP	31	case
30	la	DET	31	det
31	Vall	PROPN	27	nmod
32	d'Hebron	PROPN	31	flat
33	.	PUNCT	3	punct