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:
Caminan juntos por el nuevo paseo de la Diagonal, curiosamente el único tramo con paseo central, donde los peatones ganan por fin espacio a los coches.
Postion	Tokenization
1	Caminan
2	juntos
3	por
4	el
5	nuevo
6	paseo
7	de
8	la
9	Diagonal
10	,
11	curiosamente
12	el
13	único
14	tramo
15	con
16	paseo
17	central
18	,
19	donde
20	los
21	peatones
22	ganan
23	por
24	fin
25	espacio
26	a
27	los
28	coches
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Caminan	VERB	0	root
2	juntos	ADJ	1	obj
3	por	ADP	6	case
4	el	DET	6	det
5	nuevo	ADJ	6	amod
6	paseo	NOUN	1	obl
7	de	ADP	9	case
8	la	DET	9	det
9	Diagonal	PROPN	6	nmod
10	,	PUNCT	14	punct
11	curiosamente	ADV	14	advmod
12	el	DET	14	det
13	único	ADJ	14	amod
14	tramo	NOUN	6	appos
15	con	ADP	16	case
16	paseo	NOUN	14	nmod
17	central	ADJ	16	amod
18	,	PUNCT	22	punct
19	donde	PRON	22	obl
20	los	DET	21	det
21	peatones	NOUN	22	nsubj
22	ganan	VERB	14	acl
23	por	ADP	22	advmod
24	fin	NOUN	23	fixed
25	espacio	NOUN	22	obj
26	a	ADP	28	case
27	los	DET	28	det
28	coches	NOUN	22	obj
29	.	PUNCT	1	punct