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:
Más tarde, durante la Segunda Guerra Mundial, tanto aliados como alemanes realizaron numerosos experimentos en ese terreno, la mayoría de ellos fuera de los frentes de batalla.
Postion	Tokenization
1	Más
2	tarde
3	,
4	durante
5	la
6	Segunda
7	Guerra
8	Mundial
9	,
10	tanto
11	aliados
12	como
13	alemanes
14	realizaron
15	numerosos
16	experimentos
17	en
18	ese
19	terreno
20	,
21	la
22	mayoría
23	de
24	ellos
25	fuera
26	de
27	los
28	frentes
29	de
30	batalla
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	2	advmod
2	tarde	ADV	14	advmod
3	,	PUNCT	6	punct
4	durante	ADP	6	case
5	la	DET	6	det
6	Segunda	PROPN	14	obl
7	Guerra	PROPN	6	flat
8	Mundial	PROPN	6	flat
9	,	PUNCT	6	punct
10	tanto	ADV	11	cc
11	aliados	NOUN	14	nsubj
12	como	SCONJ	13	cc
13	alemanes	NOUN	11	conj
14	realizaron	VERB	0	root
15	numerosos	ADJ	16	amod
16	experimentos	NOUN	14	obj
17	en	ADP	19	case
18	ese	DET	19	det
19	terreno	NOUN	16	nmod
20	,	PUNCT	22	punct
21	la	DET	22	det
22	mayoría	NOUN	16	appos
23	de	ADP	24	case
24	ellos	PRON	22	nmod
25	fuera	ADV	22	advmod
26	de	ADP	28	case
27	los	DET	28	det
28	frentes	NOUN	25	obl
29	de	ADP	30	case
30	batalla	NOUN	28	nmod
31	.	PUNCT	14	punct