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:
Que la revolución de mayo del 68 nos cogió a la mayor parte de los jóvenes de ese tiempo con el paso - cambiao - y que las noticias que llegaban del exterior apenas si encontraban eco en los periódicos.
Postion	Tokenization
1	Que
2	la
3	revolución
4	de
5	mayo
6	del
7	68
8	nos
9	cogió
10	a
11	la
12	mayor
13	parte
14	de
15	los
16	jóvenes
17	de
18	ese
19	tiempo
20	con
21	el
22	paso
23	-
24	cambiao
25	-
26	y
27	que
28	las
29	noticias
30	que
31	llegaban
32	del
33	exterior
34	apenas
35	si
36	encontraban
37	eco
38	en
39	los
40	periódicos
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Que	SCONJ	9	mark
2	la	DET	3	det
3	revolución	NOUN	9	nsubj
4	de	ADP	5	case
5	mayo	NOUN	3	nmod
6	del	ADP	7	case
7	68	NUM	5	compound
8	nos	PRON	9	obj
9	cogió	VERB	0	root
10	a	ADP	13	case
11	la	DET	13	det
12	mayor	ADJ	13	amod
13	parte	NOUN	9	obj
14	de	ADP	16	case
15	los	DET	16	det
16	jóvenes	NOUN	13	nmod
17	de	ADP	19	case
18	ese	DET	19	det
19	tiempo	NOUN	16	nmod
20	con	ADP	22	case
21	el	DET	22	det
22	paso	NOUN	9	obl
23	-	PUNCT	24	punct
24	cambiao	ADJ	22	amod
25	-	PUNCT	24	punct
26	y	CCONJ	36	cc
27	que	SCONJ	36	mark
28	las	DET	29	det
29	noticias	NOUN	36	nsubj
30	que	PRON	31	nsubj
31	llegaban	VERB	29	acl
32	del	ADP	33	case
33	exterior	NOUN	31	obl
34	apenas	NOUN	36	advmod
35	si	SCONJ	34	fixed
36	encontraban	VERB	9	conj
37	eco	NOUN	36	obj
38	en	ADP	40	case
39	los	DET	40	det
40	periódicos	NOUN	36	obl
41	.	PUNCT	9	punct