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:
Tendremos que pensar en la cronología, en las emigraciones antiguas (pobladores no andaluces, que tuvieron no poca importancia), en las posteriores (sin exagerar los elementos africanos) y en las más recientes.
Postion	Tokenization
1	Tendremos
2	que
3	pensar
4	en
5	la
6	cronología
7	,
8	en
9	las
10	emigraciones
11	antiguas
12	(
13	pobladores
14	no
15	andaluces
16	,
17	que
18	tuvieron
19	no
20	poca
21	importancia
22	)
23	,
24	en
25	las
26	posteriores
27	(
28	sin
29	exagerar
30	los
31	elementos
32	africanos
33	)
34	y
35	en
36	las
37	más
38	recientes
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Tendremos	VERB	0	root
2	que	SCONJ	3	cc
3	pensar	VERB	1	conj
4	en	ADP	6	case
5	la	DET	6	det
6	cronología	NOUN	3	obj
7	,	PUNCT	10	punct
8	en	ADP	10	case
9	las	DET	10	det
10	emigraciones	NOUN	6	conj
11	antiguas	ADJ	10	amod
12	(	PUNCT	13	punct
13	pobladores	NOUN	10	appos
14	no	ADV	15	advmod
15	andaluces	ADJ	13	amod
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	tuvieron	VERB	13	acl
19	no	ADV	21	advmod
20	poca	DET	21	det
21	importancia	NOUN	18	obj
22	)	PUNCT	13	punct
23	,	PUNCT	26	punct
24	en	ADP	26	case
25	las	DET	26	det
26	posteriores	ADJ	3	advmod
27	(	PUNCT	29	punct
28	sin	ADP	29	mark
29	exagerar	VERB	26	acl
30	los	DET	31	det
31	elementos	NOUN	29	obj
32	africanos	ADJ	31	amod
33	)	PUNCT	29	punct
34	y	CCONJ	38	cc
35	en	ADP	38	case
36	las	DET	38	det
37	más	ADV	38	advmod
38	recientes	ADJ	1	conj
39	.	PUNCT	1	punct