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:
La antropología cultural posterior a Tylor profundizó en algunos de los conceptos implícitos en su definición, que se amplió o restringió según los autores o las escuelas.
Postion	Tokenization
1	La
2	antropología
3	cultural
4	posterior
5	a
6	Tylor
7	profundizó
8	en
9	algunos
10	de
11	los
12	conceptos
13	implícitos
14	en
15	su
16	definición
17	,
18	que
19	se
20	amplió
21	o
22	restringió
23	según
24	los
25	autores
26	o
27	las
28	escuelas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	antropología	NOUN	7	nsubj
3	cultural	ADJ	2	amod
4	posterior	ADJ	2	amod
5	a	ADP	6	case
6	Tylor	PROPN	4	nmod
7	profundizó	VERB	0	root
8	en	ADP	9	case
9	algunos	PRON	7	obj
10	de	ADP	12	case
11	los	DET	12	det
12	conceptos	NOUN	9	nmod
13	implícitos	ADJ	12	amod
14	en	ADP	16	case
15	su	DET	16	det
16	definición	NOUN	13	nmod
17	,	PUNCT	20	punct
18	que	PRON	20	nsubj
19	se	PRON	20	expl:pass
20	amplió	VERB	16	acl
21	o	CCONJ	22	cc
22	restringió	VERB	20	conj
23	según	ADP	25	case
24	los	DET	25	det
25	autores	NOUN	20	obl
26	o	CCONJ	28	cc
27	las	DET	28	det
28	escuelas	NOUN	25	conj
29	.	PUNCT	7	punct