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:
Al llegar a la mitad del trayecto, señalan orgullosos el solar donde se fabricó el primer metro de Barcelona: "Ahí trabajó nuestro padre, que era maquinista.
Postion	Tokenization
1	Al
2	llegar
3	a
4	la
5	mitad
6	del
7	trayecto
8	,
9	señalan
10	orgullosos
11	el
12	solar
13	donde
14	se
15	fabricó
16	el
17	primer
18	metro
19	de
20	Barcelona
21	:
22	"
23	Ahí
24	trabajó
25	nuestro
26	padre
27	,
28	que
29	era
30	maquinista
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	llegar	VERB	9	advcl
3	a	ADP	5	case
4	la	DET	5	det
5	mitad	NOUN	2	obl
6	del	ADP	7	case
7	trayecto	NOUN	5	nmod
8	,	PUNCT	2	punct
9	señalan	VERB	0	root
10	orgullosos	ADJ	9	obj
11	el	DET	12	det
12	solar	NOUN	9	obj
13	donde	PRON	15	obl
14	se	PRON	15	expl:pass
15	fabricó	VERB	12	acl
16	el	DET	18	det
17	primer	ADJ	18	amod
18	metro	NOUN	15	nsubj
19	de	ADP	20	case
20	Barcelona	PROPN	18	nmod
21	:	PUNCT	24	punct
22	"	PUNCT	24	punct
23	Ahí	ADV	24	advmod
24	trabajó	VERB	9	advcl
25	nuestro	DET	26	det
26	padre	NOUN	24	nsubj
27	,	PUNCT	30	punct
28	que	PRON	30	nsubj
29	era	AUX	30	cop
30	maquinista	NOUN	26	acl
31	.	PUNCT	9	punct