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:
Tras fijar el concepto de tribu - utilizado vulgarmente en un sentido acientífico y de modo ambiguo y confuso Malinowski hace dos observaciones que defiende con convicción.
Postion	Tokenization
1	Tras
2	fijar
3	el
4	concepto
5	de
6	tribu
7	-
8	utilizado
9	vulgarmente
10	en
11	un
12	sentido
13	acientífico
14	y
15	de
16	modo
17	ambiguo
18	y
19	confuso
20	Malinowski
21	hace
22	dos
23	observaciones
24	que
25	defiende
26	con
27	convicción
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	mark
2	fijar	VERB	21	advcl
3	el	DET	4	det
4	concepto	NOUN	2	obj
5	de	ADP	6	case
6	tribu	NOUN	4	nmod
7	-	PUNCT	8	punct
8	utilizado	ADJ	4	amod
9	vulgarmente	ADV	8	advmod
10	en	ADP	12	case
11	un	DET	12	det
12	sentido	NOUN	8	obl
13	acientífico	ADJ	12	amod
14	y	CCONJ	16	cc
15	de	ADP	16	case
16	modo	NOUN	12	conj
17	ambiguo	ADJ	16	amod
18	y	CCONJ	19	cc
19	confuso	ADJ	17	conj
20	Malinowski	PROPN	21	nsubj
21	hace	VERB	0	root
22	dos	NUM	23	nummod
23	observaciones	NOUN	21	obj
24	que	PRON	25	obj
25	defiende	VERB	23	acl
26	con	ADP	27	case
27	convicción	NOUN	25	obl
28	.	PUNCT	21	punct