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:
Gatlif sintoniza con los zíngaros (a los que distingue de los gitanos por ciertos matices) porque también se sintió muy marginado al llegar a Francia.
Postion	Tokenization
1	Gatlif
2	sintoniza
3	con
4	los
5	zíngaros
6	(
7	a
8	los
9	que
10	distingue
11	de
12	los
13	gitanos
14	por
15	ciertos
16	matices
17	)
18	porque
19	también
20	se
21	sintió
22	muy
23	marginado
24	al
25	llegar
26	a
27	Francia
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Gatlif	PROPN	2	nsubj
2	sintoniza	VERB	0	root
3	con	ADP	5	case
4	los	DET	5	det
5	zíngaros	NOUN	2	obj
6	(	PUNCT	10	punct
7	a	ADP	9	case
8	los	DET	9	det
9	que	PRON	10	obj
10	distingue	VERB	5	acl
11	de	ADP	13	case
12	los	DET	13	det
13	gitanos	NOUN	10	obj
14	por	ADP	16	case
15	ciertos	DET	16	det
16	matices	NOUN	10	obl
17	)	PUNCT	10	punct
18	porque	SCONJ	21	mark
19	también	ADV	21	advmod
20	se	PRON	21	expl:pv
21	sintió	VERB	2	advcl
22	muy	ADV	23	advmod
23	marginado	ADJ	21	obj
24	al	ADP	25	mark
25	llegar	VERB	21	advcl
26	a	ADP	27	case
27	Francia	PROPN	25	obl
28	.	PUNCT	2	punct