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:
El técnico Gallego sacrificó a un delantero, Cardetti, por un volante, Zapata, mientras en el equipo chileno, más necesitado de puntos, César Vaccia se sumó al ataque.
Postion	Tokenization
1	El
2	técnico
3	Gallego
4	sacrificó
5	a
6	un
7	delantero
8	,
9	Cardetti
10	,
11	por
12	un
13	volante
14	,
15	Zapata
16	,
17	mientras
18	en
19	el
20	equipo
21	chileno
22	,
23	más
24	necesitado
25	de
26	puntos
27	,
28	César
29	Vaccia
30	se
31	sumó
32	al
33	ataque
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	4	nsubj
3	Gallego	PROPN	2	appos
4	sacrificó	VERB	0	root
5	a	ADP	7	case
6	un	DET	7	det
7	delantero	NOUN	4	obj
8	,	PUNCT	9	punct
9	Cardetti	PROPN	7	appos
10	,	PUNCT	9	punct
11	por	ADP	13	case
12	un	DET	13	det
13	volante	NOUN	4	obl
14	,	PUNCT	15	punct
15	Zapata	PROPN	13	appos
16	,	PUNCT	15	punct
17	mientras	CCONJ	31	cc
18	en	ADP	20	case
19	el	DET	20	det
20	equipo	NOUN	31	obl
21	chileno	ADJ	20	amod
22	,	PUNCT	24	punct
23	más	ADV	24	advmod
24	necesitado	ADJ	20	amod
25	de	ADP	26	case
26	puntos	NOUN	24	obj
27	,	PUNCT	20	punct
28	César	PROPN	31	nsubj
29	Vaccia	PROPN	28	flat
30	se	PRON	31	expl:pv
31	sumó	VERB	4	conj
32	al	ADP	33	case
33	ataque	NOUN	31	obj
34	.	PUNCT	4	punct